九州大学 研究者情報
論文一覧
伊良皆 啓治(いらみな けいじ) データ更新日:2019.06.24

教授 /  システム情報科学研究院 情報学部門 知能科学


原著論文
1. Gaopeng Sun Hui Liu Yanhua Shi Yue Leng Pan Lin Ruimin Wang Yuankui Yang Junfeng Gao Haixian Wang Keiji Iramina Sheng Ge, One class support vector machine based filter for improving the classification accuracy of SSVEP BCI, 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 10.1109/CISP-BMEI.2017.8302171, 2018.02.
2. Sheng Ge Yan-Hua Shi Rui-Min Wang Pan Lin Jun-Feng Gao Gao-Peng Sun Keiji Iramina Yuan-Kui Yang Yue Leng Hai-Xian Wang Wen-Ming Zheng, Sinusoidal Signal Assisted Multivariate Empirical Mode Decomposition for Brain–Computer Interfaces, IEEE Journal of Biomedical and Health Informatics, 10.1109/JBHI.2017.2775657, 22, 5, 1373-1384, 2018.09.
3. Fadilla Zeniffa, Sho Ageno Shota Hatano Keiji Iramina, Hybrid System for Engagement Recognition during Cognitive Tasks Using a CFS+ KNN Algorithm, Sensors, 10.3390/s18113691, 18, 11, 3691 1-3891 16, 2018.10.
4. A. Sato, T. Torii, M. Iwahashi, K. Iramina, Alterations in Motor Cortical Excitability Induced by Peripheral Stimulation With Magnetic Stimulation, IEEE Transactions on Magnetics, 10.1109/TMAG.2018.2851358, 1-4, 2018.06.
5. Kazuhisa Nojima, Keiji Iramina, Relationship between rTMS effects and MEP features before rTMS, Neuroscience Letters, 10.1016/j.neulet.2017.11.030, 664, 110-115, 2018.01, [URL], Repetitive transcranial magnetic stimulation (rTMS) is a promising method for use in the clinical field, as it can induce modulation of cortical excitability. Generally, rTMS inhibits the motor cortex when delivered at less than 1 Hz. However, it has been indicated that a facilitative effect is induced by 1 Hz rTMS, depending on the stimulation parameters and the individual. Therefore, the aim of this study was to investigate the features of the subject that could affect the 1 Hz rTMS effect when rTMS stimulus conditions change. First, motor evoked potentials (MEP) were measured under rTMS conditions with a variety of stimulus intensities and numbers of pulses. The MEP features before rTMS and the MEP modulation by the rTMS were then analyzed. Furthermore, correlations between the MEP features and the rTMS effect were investigated. It was found that the MEP amplitude and MEP onset before rTMS can influence the rTMS effect. Furthermore, negative correlations were found between these MEP features and the rTMS effect. MEPs with a small amplitude and early latency were little influenced by the inhibitive effect of 1 Hz rTMS, while MEPs with a large amplitude and late latency were readily affected by the inhibitive effect of 1 Hz rTMS. In this study, we focused on the MEP features before rTMS and identified the features of the subject that could influence the rTMS effect when the rTMS stimulus condition was changed..
6. Chayapol Chaiyanan; Keiji Iramina; Thanate Angsuwatanakul; Boonserm Kaewkamnerdpong, Response time analysis on implicit learning induced by cognitive tasks toward developing ADHD treatment, Proceedings of 10th Biomedical Engineering International Conference (BMEiCON), 10.1109/BMEiCON.2017.8229133, 2017.11, Attention Deficit Hyperactivity Disorder is a neurological disorder that affects many children in the world. Many scientists have speculated that behavior therapy is an essential part of treatment for people with ADHD. One of the promising behavioral therapy is neurofeedback therapy. Using neurofeedback, therapist can learn how to modulate patients' brain activity by adjusting the training regimen. Identifying when a patient achieve implicit learning event can potentially help in designing the neurofeedback treatment to help people with ADHD. According to past research, it was speculated that implicit learning and children with ADHD could have an atypical relationship. The aim of this paper to analyze response times of healthy people while they perform cognitive tasks to differentiate between people who has gained implicit knowledge and those who did not. The data showed that there is a clear distinction between people who had gained implicit knowledge and those that did not..
7. Sheng Ge; Yan-Hua Shi; Rui-Min Wang; Pan Lin; Jun-Feng Gao; Gao-Peng Sun; Keiji Iramina; Yuan-Kui Yang; Yue Leng; Haixian Wang; Wenming Zheng, Sinusoidal Signal Assisted Multivariate Empirical Mode Decomposition for Brain-Computer Interfaces, IEEE Journal of Biomedical and Health Informatics, 10.1109/JBHI.2017.2775657, 2017.11, Abstract:
A brain-computer interface (BCI) is a communication approach that permits cerebral activity to control computers or external devices. Brain electrical activity recorded with electroencephalography (EEG) is most commonly used for BCI. Noise-assisted multivariate empirical mode decomposition (NA-MEMD) is a data-driven time-frequency analysis method that can be applied to nonlinear and nonstationary EEG signals for BCI data processing. However, because white Gaussian noise occupies a broad range of frequencies, some redundant components are introduced. To solve this leakage problem, in this study, we propose using a sinusoidal assisted signal that occupies the same frequency ranges as the original signals to improve MEMD performance. To verify the effectiveness of the proposed sinusoidal signal assisted MEMD (SA-MEMD) method, we compared the decomposition performances of MEMD, NA-MEMD, and the proposed SA-MEMD using synthetic signals and a real-world BCI dataset. The spectral decomposition results indicate that the proposed SA-MEMD can avoid the generation of redundant components and over decomposition, thus substantially reduce the mode mixing and misalignment that occurs in MEMD and NA-MEMD. Moreover, using SA-MEMD as a signal preprocessing method instead of MEMD or NA-MEMD can significantly improve BCI classification accuracy, which indicates that SA-MEMD is a powerful spectral decomposition method for BCI..
8. Kazuhisa Nojima, Keiji Iramina, Prediction of Cortical Excitability Induced by 1 Hz rTMS, TEEE:IEEJ Transactions on Electrical and Electronic Engineering, 12, 4, in press, 2017.10, The aim of this study was to develop a model that predicts the effects of repetitive transcranial magnetic stimulation (rTMS), allowing stimulation parameters for individual subjects. Modulation of cortical excitability induced by rTMS can be evaluated through motor evoked potential (MEP) amplitude. We established a model that can predict how MEP amplitude is modulated by entering rTMS intensities and numbers of pulses. First, MEPs were measured under various rTMS conditions of stimulus intensity and number of pulses. Then, cluster analysis was performed to classify subjects, as rTMS affects individuals differently. Finally, the predictive model was created by applying multiple regression analysis to data from each cluster. As a result, subjects were classified into two groups. For Cluster A, the inhibitive effect of rTMS was difficulty induced and facilitative effect was induced depending on the stimulus condition. Then, the predictive errors had an average of 46.19%. For Cluster B, the inhibitive effect was strongly induced by rTMS, and the errors had an average of 20.25%. In the model, for both clusters, about 90% of measurement data were in the predictive interval. This report describes the development of our prediction model and its efficiency..
9. Gaopeng Sun; Hui Liu; Yanhua Shi; Yue Leng; Pan Lin; Ruimin Wang; Yuankui Yang; Junfeng Gao; Haixian Wang; Keiji Iramina; Sheng Ge, One class support vector machine based filter for improving the classification accuracy of SSVEP BCI, Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2017 10th International Congress , 10.1109/CISP-BMEI.2017.8302171, 2017.10, Canonical correlation analysis (CCA) has been proved to be effective in the detection of steady state visual evoked potential (SSVEP) signals. However, the CCA method only chooses the frequency in the reference mode that corresponds to the maximum correlation value as the target. This may make the CCA output less robust. In this study, we propose a one-class support vector machine based filter to filter the sequences of correlation values in the process of the detection of SSVEP signals. The results demonstrate that the classification accuracy improved over different time windows for all subjects and the improvement achieved approximately 10% for some subjects. Moreover, the ratio of instructions that were filtered incorrectly was relative low (less than 5%) if the SSVEP signals were generated effectively..
10. Hui Liu; Wengming Zheng; Gaopeng Sun; Yanhua Shi; Yue Leng; Pan Lin; Ruimin Wang; Yuankui Yang; Jun-feng Gao; Haixian Wang; Keiji Iramina; Sheng Ge, Action understanding based on a combination of one-versus-rest and one-versus-one multi-classification methods, Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2017 10th International Congress, 10.1109/CISP-BMEI.2017.8302159, 2017.10, When people observe the actions of others, they naturally try to understand the underlying intentions. This behavior is called action understanding, and it has an important influence on mental development, language comprehension, and socialization. In this study, we used functional near-infrared spectroscopy (fNIRS) to obtain brain signals related to action understanding and then classified different intentions. Aiming to overcome the drawbacks of traditional multiclass classification methods of one-versus-rest (OVR) and one-versus-one (OVO), in this paper, we propose a new effective method to solve multiclass classification that is a combination of OVR and OVO. Compared with OVO, this new method effectively improved the accuracy of four-class classification from 25% to 48%..
11. Ruimin Wang; Risako Kamezawa; Aiko Watanabe; Keiji Iramina, EEG alpha power change during working memory encoding in adults with different memory performance levels, Proceedings of 39th Engineering in Medicine and Biology Society EMBC2017, 10.1109/EMBC.2017.8036990, 982-985, 2017.09, Peripheral stimulation is known to influence the state of cortical excitability. The purpose of this study is to investigate whether peripheral magnetic stimulation has similar effects on cortical excitability to transcranial magnetic stimulation (TMS). A magnetic stimulator with a flat figure-of-eight coil was used for both TMS, and peripheral magnetic stimulation applied to the bilateral forearms. TMS was performed on the left primary motor cortex to evaluate influence of the peripheral magnetic stimulation, and motor evoked potential (MEP) was measured from the right first dorsal interosseous. Peripheral magnetic stimulation was performed at a stimulus frequency of 1 Hz or 10 Hz, to the stimulus sites on the right and left supination of the forearm. The effects of peripheral magnetic stimulation were evaluated by comparing the mean MEP amplitude elicited by TMS before
and after peripheral magnetic stimulation. We found that cortical excitability varied according to the stimulation site and frequency of the peripheral magnetic stimulation. The inhibition of cortical excitability was observed following 1 Hz peripheral magnetic stimulation over the right forearm (p<0.001). In contrast, increased cortical excitability was observed using 1 Hz peripheral magnetic stimulation over the left forearm and 10 Hz stimulation over either the right or left forearms. We suggest that peripheral magnetic stimulation has a similar effect to TMS, and can induce both facilitation and inhibition of cortical excitability..
12. Tustanah Phukhachee; Suthathip Maneewongvatana; Boonserm Kaewkamnerdpong; Thanate Angsuwatanakul; Keiji Iramina, Measuring brain activation by using baseline-normalized event-related spectral perturbation in working memory task, Proceedings of 39th Engineering in Medicine and Biology Society EMBC2017, 10.1109/EMBC.2017.8037826, 4379-4382, 2017.09, Understanding the cognitive function of human brain is an important step in providing scientific evidence which could help us improve the condition of memory disorders, slow down its progress or at least help the patients retain some important matters. In this study, we aimed to provide additional scientific evidence with more insight on how the brain functions at a good/bad cognitive state than the usual statistical analysis. We introduced the brain activation measurement using baseline-normalized ERSP to determine the activation of EEG data from stimuli. These active points over a period of time could reflect brain synchronization due to stimuli. We also demonstrated the use of proposed measure on attention working memory data. The results indicate the potential of using the proposed measurement in categorizing the brain cognitive state and identifying some important factors to provide additional evidence to the field in the future..
13. Jongseung Lee; Nobutaka Mukae; Jumpei Arata; Hiroyuki Iwata; Keiji Iramina; Koji Iihara; Makoto Hashizume, A multichannel-near-infrared-spectroscopy-triggered robotic hand rehabilitation system for stroke patients, Proceedings of 2017 International Conference on Rehabilitation Robotics (ICORR), 10.1109/ICORR.2017.8009239, 158-163, 2017.08, There is a demand for a new neurorehabilitation modality with a brain-computer interface for stroke patients with insufficient or no remaining hand motor function. We previously developed a robotic hand rehabilitation system triggered by multichannel near-infrared spectroscopy (NIRS) to address this demand. In a preliminary prototype system, a robotic hand orthosis, providing one degree-of-freedom motion for a hand's closing and opening, is triggered by a wireless command from a NIRS system, capturing a subject's motor cortex activation. To examine the feasibility of the prototype, we conducted a preliminary test involving six neurologically intact participants. The test comprised a series of evaluations for two aspects of neurorehabilitation training in a real-time manner: classification accuracy and execution time. The effects of classification-related factors, namely the algorithm, signal type, and number of NIRS channels, were investigated. In the comparison of algorithms, linear discrimination analysis performed better than the support vector machine in terms of both accuracy and training time. The oxyhemoglobin versus deoxyhemoglobin comparison revealed that the two concentrations almost equally contribute to the hand motion estimation. The relationship between the number of NIRS channels and accuracy indicated that a certain number of channels are needed and suggested a need for a method of selecting informative channels. The computation time of 5.84 ms was acceptable for our purpose. Overall, the preliminary prototype showed sufficient feasibility for further development and clinical testing with stroke patients..
14. Sheng Ge; Meng-Yuan Ding; Zheng Zhang; Pan Lin; Jun-Feng Gao; Rui-Min Wang; Gao-Peng Sun; Keiji Iramina; Hui-Hua Deng; Yuan-Kui Yang; Yue Leng, Temporal-Spatial Features of Intention Understanding Based on EEG-fNIRS Bimodal Measurement, IEEE Access, 10.1109/ACCESS.2017.2723428, 5, 14245-14258, 2017.07, Understanding the actions of other people is a key component of social interaction. This paper used an electroencephalography and functional near infrared spectroscopy (EEG-fNIRS) bimodal system to investigate the temporal-spatial features of action intention understanding. We measured brain activation while participants observed three actions: 1) grasping a cup for drinking; 2) grasping a cup for moving; and 3) no meaningful intention. Analysis of EEG maximum standardized current density revealed that brain activation transitioned from the left to the right hemisphere. EEG-fNIRS source analysis results revealed that both the mirror neuron system and theory of mind network are involved in action intention understanding, and the extent to which these two systems are engaged appears to be determined by the clarity of the observed intention. These findings indicate that action intention understanding is a complex and dynamic process..
15. Ge Sheng, Ruimin Wang, Yue Leng, Haixian Wang, Pan Lin, Keiji Iramina, A Double-Partial Least-Squares Model for the Detection of Steady-State Visual Evoked Potentials, IEEE Journal of Biomedical and Health Informatics, 10.1109/JBHI.2016.2546311, 21, 4, 897-903, 2017.04.
16. Kaori Tamura, Takaaki Mizuba, Tsuyoshi Okamoto, Mayumi Matsufuji, Sachio Takashima, Keiji Iramina, Evaluation of cognitive function when hearing one's own name in patients with brain injuries in early developmental stages, Journal of Clinical Neurophysiology, in press, 2016.12, Introduction: The level of residual cognitive function in patients with early brain injury is a key factor limiting rehabilitation and the quality of life. Although understanding residual function is necessary for appropriate rehabilitation, the extent of its effects on cognitive improvement remains unknown. The present study evaluated cognitive function in patients with severe motor and intellectual disabilities after early brain injuries due to cerebral hemorrhage (CH) or periventricular leukomalacia (PVL). We focused on neural responses to hearing the subject's own name (SON). According to previous studies, differences in response to SON are associated with several types of cognitive dysfunction. Method: We examined healthy subjects (aged 21.4 +/- 1.10 years; control) and patients with a previous brain injury (aged 13-27 years at the time of our analysis) resulting in PVL or a CH during the perinatal period or childhood. We recorded electroencephalographic (EEG) responses to the SON and to other Japanese words, obtaining EEG-evoked potentials with wavelet transformations. Results: Compared to healthy controls, Beta power (not Alpha power), revealed differences in response to SON by brain injury patients, especially those with CH. Conclusion: We suggest that alpha and beta power differences reflect different cognitive functions and that the SON response reveals more than one process. Beta powers may reflect the intellectual disability of cognitive function in response to self-relevant stimuli, especially in patients with cerebral hemorrhage. Meanwhile, alpha powers did not differ from those of the healthy controls, suggesting that the patients perhaps paid attention to their own names..
17. Kaori Tamura, Takaaki Mizuba, Keiji Iramina, Hearing subject׳s own name induces the late positive component of event-related potential and beta power suppression, Brain Research, http://dx.doi.org/10.1016/j.brainres.2016.01.032, 1635, 130-142, 2016.10, The neuronal response to hearing a subject׳s own name (SON) has been often investigated using event-related potential (ERP) or time–frequency analysis, but seldom by a combination of these methods. Using this combination of approaches would allow the relationship between memory processes engaged by SON and the neuronal responses to be studied in more detail. Thus, the present study used both ERP and time–frequency analysis to investigate memory process for SON by comparing the responses to SON and to unfamiliar names. Specifically, the SON condition was compared with two control conditions: repeated unfamiliar names and singly presented unfamiliar names. This experimental design allowed us to determine the differences in memory processes between hearing one׳s own name and hearing unrelated but repeatedly heard names. ERP analysis showed that SON elicited a late positive component in parietal areas, while unfamiliar names elicited no positivity. Beta power suppression was observed in response to SON at 0.4–0.6 s after stimulus onset at right central sites, but not in response to unfamiliar names. These results are indicative of an involvement of episodic memory processes on hearing SON, which corresponds to the recognition of one׳s own name. Further, the ERP results suggest the presence of a “new” stimulus recognition process that is activated by singly presented unfamiliar names but not by repeated unfamiliar names..
18. Aya Sato, Xiangqun Liu, Tetsuya Torii, Masakuni Iwahashi, Keiji Iramina, Modulation of motor cortex excitability by peripheral magnetic stimulation of different stimulus sites and frequencies, Proceedings of 38th Engineering in Medicine and Biology Society EMBC2016, 6413-6416, 2016.08, Peripheral stimulation is known to influence the state of cortical excitability. The purpose of this study is to investigate whether peripheral magnetic stimulation has similar effects on cortical excitability to transcranial magnetic stimulation (TMS). A magnetic stimulator with a flat figure-of-eight coil was used for both TMS, and peripheral magnetic stimulation applied to the bilateral forearms. TMS was performed on the left primary motor cortex to evaluate influence of the peripheral magnetic stimulation, and motor evoked potential (MEP) was measured from the right first dorsal interosseous. Peripheral magnetic stimulation was performed at a stimulus frequency of 1 Hz or 10 Hz, to the stimulus sites on the right and left supination of the forearm. The effects of peripheral magnetic stimulation were evaluated by comparing the mean MEP amplitude elicited by TMS before
and after peripheral magnetic stimulation. We found that cortical excitability varied according to the stimulation site and frequency of the peripheral magnetic stimulation. The inhibition of cortical excitability was observed following 1 Hz peripheral magnetic stimulation over the right forearm (p<0.001). In contrast, increased cortical excitability was observed using 1 Hz peripheral magnetic stimulation over the left forearm and 10 Hz stimulation over either the right or left forearms. We suggest that peripheral magnetic stimulation has a similar effect to TMS, and can induce both facilitation and inhibition of cortical excitability..
19. Aya Sato, Xiangqun Liu, Tetsuya Torii, Masakuni Iwahashi, Keiji Iramina, Alteration of the Motor Cortex Excitability by Modulation of the Stimulus Parameter of Peripheral Stimulation, BME2016 in Vietnam, IFMBE Proceedings, 2016, 494-497, 2016.06, Transcranial magnetic stimulation (TMS) is known to elicit a conditioning effect on cortical excitability.
The purpose of this study was to investigate changes in cortical excitability induced by peripheral stimulation with differing frequency and stimulation site. A magnetic stimulator with a flat figure-eight coil was used for TMS and was performed on the left primary motor cortex. The electrical stimulation and magnetic stimulation were used in peripheral stimulation and the stimulus sites were the right and left supination of the forearm. Peripheral stimulation was performed at a stimulus frequency of 1 Hz or 10 Hz. Alterations of cortical excitability induced by peripheral stimulation were evaluated by comparing the mean of the motor evoked potential amplitude elicited
by TMS each before and after peripheral stimulation. We found that cortical excitability varied according to the stimulation site and frequency in both the electrical and magnetic stimulation over the forearm. The inhibition of cortical excitability was observed in both 1 Hz electrical and magnetic stimulation over the right forearm. In contrast, the facilitation of cortical excitability was observed at 1 Hz electrical and magnetic stimulation over the left forearm, and it was confirmed for both the right and left forearms at 10 Hz electrical and magnetic stimulation. Moreover, regarding the alteration of cortical excitability induced by peripheral stimulation, it was
confirmed that magnetic stimulation has more the significant difference than electrical stimulation. We suggest that peripheral stimulation by electrical and magnetic stimulation have a similar effect to TMS, and can induce both facilitation and inhibition of cortical excitability. Moreover, in the case of peripheral stimulation of the same stimulus frequency, we expect that the magnetic stimulation has more the significant effect than electrical timulation to cortical excitability. .
20. Ruimin Wang, Keiji Iramina, Ge Sheng, An Improved Multiple LASSO Model for Steady-State Visual Evoked Potential Detection, BME2016 in Vietnam, IFMBE Proceedings, 2016, 457-460, 2016.06, Improving the classification accuracy in brain–computer interface (BCI) with a short data length is important
to increase the BCI system’s information transfer rate. Least absolute shrinkage and selection operator (LASSO) has been examined to be an effective way to detect the steady-state visual evoked potential (SSVEP) signals with a short time window. In this paper, an improved multiple LASSO model for SSVEP detection is proposed, which can process multichannel electroencephalogram (EEG) signals without electrode selection. EEG data from twelve healthy volunteers were used to test the improved multiple LASSO model. Compared with the traditional
LASSO model, the improved multiple LASSO model gives a significantly better performance with multichannel EEG data..
21. Takehito Hayami, Keiji Iramina, Xian Chen, Computer Simulation of Nerve Conduction Study of a Sural Nerve to Evaluate Human Peripheral Nervous System, BME2016 in Vietnam, IFMBE Proceedings, 2016, 461-464, 2016.06, Nerve conduction study is a test to examine the function of electric signal transmission at the trunk of a peripheral
nerve, which is an effective method for the diagnosis of diabetes to quantify the peripheral numbness and to evaluate the stage of this complication. In a routine test, the feature to measure in the electric potential waveform observed in this test is limited to the velocity and the amplitude of the peaks. To make the measurement more precise, the production process of the electric potential waveform should be observed carefully.
In this study, nerve conduction study of a sural nerve, which is the most popular for the patients with diabetes, was simulated in a computer using general cable equation and neuroanatomical data. As a result, the approximate electric potential waveform was reproduced, whereas the conduction velocity of the peaks .
22. Kurniawan Eka Permana, Keiji Iramina, Tsuyoshi Okamoto, Single Channel Electroencephalogram Measurement with Multi Scale Entropy Analysis for Evaluating Day Time Sleep, BME2016 in Vietnam, IFMBE Proceedings, 2016, 483-486, 2016.06, General method of evaluating sleep is to identify the stages of sleep from electroenchephalogram (EEG), electrooculogram (EOG) and electromyogram (EMG). Unfortunately, visual sleep scoring take a long time and very subjective. This causes developing of automatic sleep staging based on multi EEG, EOG and EMG. Recently, many researchers have developed automatic sleep stages based on single channel EEG to reduce the unnecessary number of wired. However, sleep stages cycle completed in ninety minutes. Short time or day time sleep experiment usually done in less than one hour and make it difficult to analysis with standard measurement.
The purpose of this research is developing an evaluation method by single channel EEG. This method works by measuring changes in amplitude power of EEG at a specific time of day time sleep. This different amplitude in term of complexity of EEG can be used to define as an index. Methods: We calculated EEG complexity with Multi Scale Entropy (MSE) for day time sleep experiment Results: The average entropy as the final result from the method could determine the EEG complexity of frequency power and have negative correlation with delta
wave. Based on this result, average entropy was used and had demonstrated a significant difference. Conclusion: MSE method could be useful to measure single channel EEG and significantly perform better understanding of day time sleep. .
23. Miki Kaneko, Yushiro Yamashita, Keiji Iramina, Quantitative Evaluation System of Soft Neurological Signs for Children with Attention Deficit Hyperactivity Disorder, Sensors, 10.3390/s16010116, 16, 1, 116-1-116-9, 2016.01, Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by symptoms of inattention, hyperactivity, and impulsivity. Soft neurological signs (SNS) are minor neurological abnormalities in motor performance, and are used as one evaluation method for neurodevelopmental delays in children with ADHD. Our aim is to establish a quantitative evaluation system for children with ADHD. We focused on the arm movement called pronation and supination, which is one such soft neurological sign. Thirty three children with ADHD aged 7–11 years (27 males, six females) and twenty five adults participants aged 21–29 years old (19 males, six females) participated in our experiments. Our results suggested that the pronation and supination function in children with ADHD has a tendency to lag behind that of typically developing children by several years. From these results, our system has a possibility to objectively evaluate the neurodevelopmental delay of children with ADHD..
24. Kaori Tamura, Chihiro Karube, Takaaki Mizuba, Mayumi Matsufuji, Sachio Takashima, Keiji Iramina, Phase-locked theta activity evoked in patients with severe motor and intellectual disabilities upon hearing own names, Brain & Development, 10.1016/j.braindev.2014.11.009, 37, 8, 764-772, 2015.11, Severe motor and intellectual disability (SMID) patients cannot express their feelings with language. Understanding what they are thinking about or how they feel is thus difficult. This study focused on brain responses to hearing their own names to clarify the situation in these patients.
We performed and analyzed electroencephalography (EEG) for six patients with SMID and eleven healthy subjects. All subjects were presented with auditory stimuli including calling the subject’s own name (SON) and reading words. EEG was analyzed by time–frequency analysis, event-related spectral perturbation (ERSP) to detect EEG power changes caused by EEG amplitude, and inter-trial coherence (ITC) to investigate phase-locked changes.
ERSP results from healthy subjects showed significant theta power increases as a specific response to SON. While we could not identify a similar pattern in the responses of patients with SMID, analysis of ITC revealed that theta phase-locked activity increased in response to SON not only in all healthy subjects, but also in four patients.
These results indicate that theta phase-locked activity in some patients with SMID was strongly associated with SON, as in healthy subjects. Our study suggests the existence of specific neural markers that signal an attentional shift in patients upon hearing SON..
25. Thanate Angsuwatanakul, Boonserm Kaewkamnerdpong, Keiji Iramina, Brain complexity analysis of functional near infrared spectroscopy for working memory study, Proceedings of 2015 8th Biomedical Engineering International Conference (BMEiCON), 10.1109/BMEiCON.2015.7399531, 1-5, 2015.11, Working memory is an important brain functionfor memorizing information in everyday life. This study proposed an alternative approach for analyzing visual working memory based on brain complexity to identify brain state condition for memorizing new scene..
26. Kazuki Onikura, Keiji Iramina, Evaluation of a head movement artifact removal method for EEG considering real-time prosessing, Proceedings of 2015 8th Biomedical Engineering International Conference (BMEiCON), 10.1109/BMEiCON.2015.7399531, 1-4, 2015.11, The present study proposes the method of removing head movement artifact for considering real-time processing and improving reliability of EEG under unconstrained measurement. In the proposed method, independent component analysis and high-pass filtering.
27. Masaki Ono, Hiroki Furusho, Keiji Iramina, Analysis of the complexity of EEG during the short-term memory task, Proceedings of 2015 8th Biomedical Engineering International Conference (BMEiCON), 10.1109/BMEiCON.2015.7399531, 1-5, 2015.11, The present study proposes the method of removing head movement artifact for considering real-time processing and improving reliability of EEG under unconstrained measurement. In the proposed method, independent component analysis and high-pass filtering.
28. Yuya Onitsuka, Yoshiyuki Shiotsuka, Keiji Iramina, The difference in the kinds of stimulations in CIT based on ERP, Proceedings of 2015 8th Biomedical Engineering International Conference (BMEiCON), 10.1109/BMEiCON.2015.7399531, 1-5, 2015.11.
29. Miki Kaneko, YUshiro Yamashita, Osamu Inomoto, Keiji Iramina, Soft Neurological Signs in Childhood by Measurement of Arm Movements Using Acceleration and Angular Velocity Sensors, Sensors, 10.3390/s151025793 , 15, 10, 25793-25808, 2015.10, Soft neurological signs (SNS) are evident in the motor performance of children and disappear as the child grows up. Therefore SNS are used as criteria for evaluating age-appropriate development of neurological function. The aim of this study was to quantify SNS during arm movement in childhood. In this study, we focused on pronation and supination, which are arm movements included in the SNS examination. Two hundred and twenty-three typically developing children aged 4–12 years (107 boys, 116 girls) and 18 adults aged 21–26 years (16 males, two females) participated in the experiment. To quantify SNS during pronation and supination, we calculated several evaluation index scores: bimanual symmetry, compliance, postural stability, motor speed and mirror movement. These index scores were evaluated using data obtained from sensors attached to the participants’ hands and elbows. Each score increased as age increased. Results obtained using our system showed developmental changes that were consistent with criteria for SNS. We were able to successfully quantify SNS during pronation and supination. These results indicate that it may be possible to use our system as quantitative criteria for evaluating development of neurological function..
30. Zennifa Fadilla, Junko Ide, Yukihiro Noguchi, Keiji Iramina, Monitoring of Cognitive State on Mental Retardation Child using EEG, ECG and NIRS in Four Years Study, Proceedings of 37th Engineering in Medicine and Biology Society EMBC2015, 6610-6613, 2015.08.
31. Aya Sato, Tetsuya Torii, Masakuni Iwahashi, Keiji Iramina, Basic study on the influence of inhibition induced by the magnetic stimulation on the peripheral nerve, Journal of Applied Physics, 10.1063/1.4908303, 117, 17, 17B303-1-17B303-4, 2015.05, The purpose of this study is to analyze the inhibition mechanism of magnetic stimulation on motor function. A magnetic stimulator with a flat figure-eight coil was used to stimulate the peripheral nerve of the antebrachium. The intensity of magnetic stimulation was 0.8 T, and the stimulation frequency was 1 Hz. The amplitudes of the motor-evoked potentials (MEPs) at the abductor pollicis brevis muscle and first dorsal interosseous muscle were used to evaluate the effects of magnetic stimulation. The effects of magnetic stimulation were evaluated by analyzing the MEP amplitude before and after magnetic stimulation to the primary motor cortex. The results showed that MEP amplitude after magnetic stimulation compared with before magnetic stimulation decreased. Because there were individual differences in MEP amplitude induced by magnetic stimulation, the MEP amplitude after stimulation was normalized by the amplitude of each participant before stimulation. The MEP amplitude after stimulation decreased by approximately 58% (p<0.01) on average compared with before stimulation. Previous studies suggested that magnetic stimulation to the primary motor cortex induced an increase or a decrease in MEP amplitude. Furthermore, previous studies have shown that the alteration in MEP amplitude was induced by cortical excitability based on magnetic stimulation. The results of this study showed that MEP amplitude decreased following magnetic stimulation to the peripheral nerve. We suggest that the decrease in MEP amplitude found in this study was obtained via the feedback from a peripheral nerve through an afferent nerve to the brain. This study suggests that peripheral excitement by magnetic stimulation of the peripheral nerve may control the central nervous system via afferent feedback. .
32. Ning Zhao, Xian Chen, Keiji Iramina, A 3D COUPLED MATHEMATICAL MODEL FOR THE GROWTH OF AVASCULAR SOLID TUMOR, Journal of Mechanics in Medicine and Biology, 10.1142/S0219519415500244, 15, 1, 1550024-1550024, 2015.03, We develop a coupled mathematical model of avascular tumor growth based on porous media mechanics. This comprises of the migration of tumor cells (TCs), the degradation of extracellular matrix (ECM), the transport of matrix-degrading enzymes (MDEs), the seepage of tissue fluid and the supplement and consumption of oxygen. The simulation that a solid tumor grows in the micro-environment composed of the pre-existing capillaries and the surrounding tissues, and the specific property of varying porosity with the growth of TCs in a tumor micro-environment are taken into account. We propose functional coefficients for fluid seepage and oxygen diffusion, and incorporate the convection–diffusion of oxygen and the convection of MDEs. From this modified model the main findings include: first, a solid tumor originating in the inlet region undergoes necrosis in the outlet region because of a low supply of oxygen, while a solid tumor originating in the outlet region undergoes necrosis at the primary site because of overconsumption of oxygen; second, tumors further from capillaries grow faster than tumors close to adjacent capillaries; third, the pre-existing capillaries cause some impact to the transport of those chemical factors involved in tumor growth, and further affect tumor migration and necrosis.
.
33. Kazuki Onikura, Yoshinori Katayama, Keiji Iramina, Evaluation of a Method of Removing Head Movement Artifact from EEG by Independent Component Analysis and Filtering, Advanced Biomedical Engineering, 10.14326/abe.4.67, 4, 1, 67-72, 2015.03, Artifacts that contaminate electroencephalography (EEG) signals make it difcult to analyze EEG. The aim of this study was to removal artifacts on EEG, specially those caused by motion, to measure EEG in unconstrained situations. In a previous study, head movements were detected by an accelerometer, and motion artifact components were separated from the recorded EEG by independent component analysis (ICA). This method is effective for reducing the effect of artifacts, but has a risk that EEG components are also removed. In this paper, we introduce an improved artifact removal method based on ICA and ltering. EEG were decomposed by ICA, and a Pearson’s correlation coefcient was calculated between each independent component and each hybrid accelerometer value to distinguish artifact components. Artifact components were then high-pass ltered. In this study, subjects were instructed to move their heads randomly, while keeping their eyes closed. The previous method was adapted using 1, 2, 3, 5 and 10 s to nd the most suitable epoch to minimize the mean absolute amplitude of the cleaned EEG. Then, using this epoch, the proposed method was compared with the previous method by frequency analysis. Low frequency power (0.1–3 Hz) was normalized to unity because most power caused by motion artifacts exists in the low power band. If the normalized theta (4–8 Hz), alpha (8–13 Hz) and beta (13–40 Hz) powers of cleaned EEG are higher than that of raw EEG, this indicates that the effect of motion artifacts is small and EEG components are retained. The results obtained from theta and alpha power comparison showed that the proposed method performed better than the previous method. This result suggests that the proposed artifact removal method is more effective to reduce the effect of artifacts while retaining the EEG components..
34. Ning Zhao, Keiji Iramina, Numerical simulation of effect of convection-diffusion on oxygen transport in microcirculation, Applied Mathematics and Mechanics, 10.1007/s10483-015-1908-7, 36, 2, 179-200, 2015.02, The entire process of oxygen transport in microcirculation by developing a 3D porous media model is calculated numerically with coupled solid deformation-fluid seepage-convection and diffusion . The principal novelty of the model is that it takes into account volumetric deformation of both capillary and tissues resulting from capillary fluctuation. How solid deformation, fluid seepage, and convection-diffusion combine to affect
oxygen transport is examined quantitatively: (1) Solid deformation is more significant in the middle of capillary, where the maximum value of volumetric deformation reaches about 0.5%. (2) Solid deformation has positive influence on the tissue fluid so that it flows more uniformly and causes oxygen to be transported more uniformly, and eventually impacts oxygen concentration by 0.1%–0.5%. (3) Convection-diffusion coupled deformation and seepage has a maximum (16%) and average (3%) increase in oxygen concentration, compared with pure molecular diffusion. Its more significant role is to allow oxygen to be transported more evenly. .
35. Ning Zhao, Keiji Iramina, A mathematical coupled model of oxygen transport in the microcirculation: The effect of convection-diffusion on oxygen transport, Journal of Mechanics in Medicine and Biology, 10.1142/S0219519415500037, 15, 1, 1550003-1-155003-26, 2015.01, This paper is aimed at examining the effect of convection–diffusion on oxygen transport at the micro-level. A coupled model of the convection–diffusion and molecular diffusion of oxygen is developed, and the solid deformation resulting from capillary fluctuations and the seepage of tissue fluid are incorporated into this model. The results indicate that (1) the oxygen concentration calculated from this coupled model is higher than that given by molecular diffusion
models, both within the capillaries and tissue (maximum difference of 16%); (2) convection–diffusion has the greatest effect in tissue surrounding the iddle of the capillary, and enhances the amount of oxygen transported to cells far from the oxygen source; (3) larger permeability coefficients or smaller diffusion coefficients produce a more obvious convection–diffusion effect; (4) a counter-current flow occurs near the inlet and outlet ends of the capillary. This model also provides a foundation for the study of how oxygen affects tumor growth..
36. Thanate Angsuwatanakul, Keiji Iramina, Boonserm Kaewkamnerdpong, Multi-scale sample entropy as a feature for working memory study, IEEE Conference Publication, Biomedical Engineering International Conference (BMEiCON), 2014 , 10.1109/BMEiCON.2014.7017446, 1-5, 2014.11, Toward the understanding of how human brains work so that we could manage to effectively improve the conditions of neurological disorders or even enhance the cognitive performance, working memory study is of interest. Multi-scale sample entropy has been used to analyze the complexity of biomedical data. This study aims to investigate the potential of using multi-scale sample entropy as a feature for characterizing memory. We applied complexity analysis on EEG data recorded during a cognitive experiment targeting working memory through visual stimuli. The results revealed the distinctive sample entropy for various memory cases in prefrontal area. This indicated the potential of using multi-scale sample entropy for characterizing memory..
37. Tesuya Torii, Aya Sato, Masakuni Iwahashi, Keiji Iramina, Change of Cognition Effects by Impact of the Transcranial Magnetic Stimulation, IEEE Transactions on Magnetics, 10.1109/TMAG.2014.2323071, 50, 11, 5101104, 2014.11, The purpose of this paper is to investigate the effects of sub- or supra-threshold low-frequency repetitive transcranial magnetic stimulation (rTMS) on cognitive function. The magnetic stimulation was delivered at 1 Hz to the left supramarginal gyrus, which is considered to be the area of origin of the P300 event-related potential component. The intensity of magnetic stimulation was 80% or 120% of motor threshold, and 100 magnetic pulses were applied. The auditory oddball task, consisting of tone burst waves, was used to elicit P300 before and shortly after magnetic stimulation. We found that P300 latency depended on the intensity of the 1 Hz magnetic stimulation. With subthreshold rTMS, P300 latency was significantly shortened compared with before magnetic stimulation by around 10 ms (Cz: p<;0.05) on average. With the suprathreshold rTMS, the latency was significantly delayed compared with before magnetic stimulation by around 10 ms (Cz: p<; 0.01) on average. The facilitation of cortical excitability by rTMS may induce the shortening of P300 latency, whereas the inhibition of cortical excitability may induce its delay. Thus, P300 latency can be altered by both sub- and supra-threshold low-frequency magnetic stimulation..
38. Ruimin Wang, Yue Leng, Yuankui Yang, Wen Wu, Keiji Iramina, Sheng Ge, A partial least squares-based stimulus frequency recognition model for steady-state visual evoked potentials detection, Proceedings of 7th International Conference on Biomedical Ngineering and Informatics(BMEI), 10.1109/BMEI.2014.7002863, 699-703, 2014.10, With shorter calibration times and higher information transfer rates, steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) have been studied most activity in recent years. Target identification is the ongoing core task in BCI researches, and plays a significant role in practical applications. In order to improve the performance of SSVEP-based BCI system, we proposed a partial least squares (PLS)-based stimulus frequency recognition model for SSVEP detection. Moreover, we compared the proposed method with canonical correlation analysis (CCA) and least absolute shrinkage and selection operator (LASSO) method, respectively. The experiment results showed that PLS can not only extract the SSVEP features effectively, but also can increase the classification accuracies of SSVEP-based BCI systems..
39. Fadilla Zennifa, Fitrilina, Husnil Kamil,, Keiji Iramina, Prototype early warning system for heart disease detection using Android application, Proceedings of The 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’14), 10.1109/EMBC.2014.6944369 , 3468-3471, 2014.08, Heart Disease affects approximately 70 million people worldwide where most people do not even know the symptoms. This research examines the prototype of early warning system for heart disease by android application. It aims to facilitate users to early detect heart disease which can be used independently. To build the application in android phone, variable centered intelligence rule system (VCIRS) as decision makers and pulse sensor - Arduino as heart rate detector were
applied in this study. Moreover, in Arduino, the heart rate will become an input for symptoms in Android Application. The output of this system is the conclusion statement of users diagnosed with either coronary heart disease, hypertension heart disease, rheumatic heart disease or do not get any kind of heart disease. The result of diagnosis followed by analysis of the
value of usage variable rate (VUR) rule usage rate (RUR) and node usage rate (NUR) that shows the value of the rule that will increase when the symptoms frequently appear. This application was compared with the medical analysis from 35 cases of heart disease and it showed concordance between diagnosis from android application and expert diagnosis of the doctors..
40. Ruimin Wang, Wen Wu, Keiji Iramina, Sheng Ge, The combination of CCA and PSDA detection methods in a SSVEP-BCI system, Proceedings of 11th World Congress on Intelligent Control and Automation (WCICA), 10.1109/WCICA.2014.7053101, 2424-2427, 2014.07, In recent years, based on the steady-state visual evoked potential (SSVEP) brain-computer interfaces (BCIs) have generated significant interest, due to their shorter calibration times and higher information transfer rates. Target identification is the core signal processing task in BCIs. Power spectral density analysis (PSDA) and canonical correlation analysis (CCA) are the most popular and widely used classification methods in SSVEP-BCI systems. In this paper, we first combined these two methods for detecting the SSVEP signals. Moreover, we compared the proposed method with PSDA, CCA method, respectively. The results showed that the proposed method can improve the accuracy and the transfer rate of BCIs..
41. Aya Sato, Tetsuya Torii, Masakuni Iwahashi, Yuji Ito, Keiji Iramina, Modulation of amplitude and latency of motor evoked potential by direction of transcranial magnetic stimulation, Journal of Applied Physics, 10.1063/1.4862716, 115, 17, 17E304 -17E304-3, 2014.05, The present study analyzed the effects of monophasic magnetic stimulation to the motor cortex. The effects of magnetic stimulation were evaluated by analyzing the motor evoked potentials (MEPs). The amplitude and latency of MEPs on the abductor pollicis brevis muscle were used to evaluate the effects of repetitive magnetic stimulation. A figure eight-shaped flat coil was used to stimulate the region over the primary motor cortex. The intensity of magnetic stimulation was 120% of the resting motor threshold, and the frequency of magnetic stimulation was 0.1 Hz. In addition, the direction of the current in the brain was posterior-anterior (PA) or anterior-posterior (AP). The latency of MEP was compared with PA and AP on initial magnetic stimulation. The results demonstrated that a stimulus in the AP direction increased the latency of the MEP by approximately 2.5 ms. MEP amplitude was also compared with PA and AP during 60 magnetic stimulations. The results showed that a stimulus in the PA direction gradually increased the amplitude of the MEP. However, a stimulus in the AP direction did not modulate the MEP amplitude. The average MEP amplitude induced from every 10 magnetic pulses was normalized by the average amplitude of the first 10 stimuli. These results demonstrated that the normalized MEP amplitude increased up to approximately 150%. In terms of pyramidal neuron indirect waves (I waves), magnetic stimulation inducing current flowing backward to the anterior preferentially elicited an I1 wave, and current flowing forward to the posterior elicited an I3 wave. It has been reported that the latency of the I3 wave is approximately 2.5 ms longer than the I1 wave elicitation, so the resulting difference in latency may be caused by this phenomenon. It has also been reported that there is no alteration of MEP amplitude at a frequency of 0.1 Hz. However, this study suggested that the modulation of MEP amplitude depends on stimulation strength - nd stimulation direction..
42. Kazuhisa Nojima, Yoshinori Katayama, Keiji Iramina, rTMS and tDCS effects on the power and ERD of mu wave, IEEJ Transactions on Fundamentals and Materials, 133, 9, 478-483, 2013.09.
43. 佐藤 綾, 鳥居徹也, 中原由木子, 岩橋政國, 伊藤 裕司, 伊良皆 啓治, 反復経頭蓋磁気刺激の刺激部位及び頻度が事象関連電位に与える影響 , 電気学会論文誌A(基礎・材料・共通部門誌), http://dx.doi.org/10.1541/ieejfms.133.445, 133, 8, 445-450, 2013.08, The present study analyzed the effects of repetitive transcranial magnetic stimulation (rTMS) on brain activity. P300 latency of event-related potential (ERP) was used to evaluate the effect of low-frequency and short-term rTMS. We investigated the effect of P300 latency by 1.0 or 0.5 rTMS over the supramarginal gyrus (SMGs) and dorsolateral prefrontal cortex (DLPFCs). The P300 of ERP was elicited by auditory odd-ball task, which was delivered before and shortly after rTMS. ERP was measured prior to rTMS as a control, and after the rTMS. The rTMS was performed for 100 pulses. We found that the individual frequency difference of rTMS affected P300 latencies. Compared to the control, with 1.0 Hz-rTMS to the left-SMG, P300 latencies decreased. Latencies were shorted by approximately 18 ms at Fz electrode. With 0.5 Hz-rTMS to the left-SMG and 1.0 Hz-rTMS to the left-DLPFC, P300 latencies increased. Latencies were lengthened by approximately 26 ms at Fz electrode with 0.5 Hz-rTMS to the left-SMG, and by approximately 18 ms at Fz electrode with 1 Hz-rTMS to the left-DLPFC. In contrast, P300 latency was little altered by rTMS over the right-SMG and right-DLPFC. The results suggested that the effect of low-frequency rTMS had difference by stimulus frequency and stimulation point..
44. Kaori Tamura, Chihiro Karube, Takaaki Mizuba, Mayumi Matsufuji, Sachio Takashima, Keiji Iramina, Measurement of brain activity responded by subjects'own name using EEG, Proceedings of The 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’13), 10.1109/EMBC.2013.6611271 , 7412 -7415, 2013.07, Sever motor and intellectual disabilities (SMID) patients can't express their feelings with languages. That's why it is important to measure and analyze their brain activity. In this study, we tried to investigate the brain response to hearing subject's own name of healthy people and one patient with SMID by analyzing EEG. The results of time frequency analysis showed the inter trial coherence of a patient with SMID at theta oscillation was higher in response to SON specifically. On the other hand, that of healthy subjects was not so different with that in response to control condition. These results might reflect of the difference of lexical semantic process between the patient and healthy subjects..
45. Kazuhisa Nojima, Yoshinori Katayama, Keiji Iramina, Predicting rTMS effect for deciding stimulation parameters, Proceedings of The 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’13), 10.1109/EMBC.2013.6611011, 6369 -6372, 2013.07, Repetitive transcranial magnetic stimulation (rTMS) is used in the medical field to modulate cortical excitability. However, when applied in this setting, rTMS stimulation parameters are not usually decided objectively. The aim of this study is to make a model that predicts the rTMS effect, allowing stimulation parameters (intensity and pulse number) to be easily determined before use. First, we investigated the relationship between stimulation condition and rTMS outcome. rTMS delivered at 1 Hz was applied with stimulation intensities of 85%, 100%, or 115% resting motor threshold (RMT) over the primary motor cortex in the left hemisphere. Motor-evoked potentials (MEPs) were measured before rTMS and after every 200 rTMS pulses. Eighteen hundred pulses were applied for each stimulation condition. Results showed that more pulses and stronger intensities lead to a larger decrease in MEP amplitude. An initial prediction model was then made by applying multiple regression analysis over the experimental data. We then adjusted the model depending on the size of the initial MEP amplitude before rTMS, and confirmed the improvement..
46. Aya Sato, Tesuya Torii, Yuko Nakahara, Masakuni Iwahashi, Keiji Iramina, The impact of rTMS over the dorsolateral prefrontal cortex on cognitive processing, Proceedings of The 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’13), 10.1109/EMBC.2013.6609919 , 1988-1991, 2013.07, The purpose of the present study was to use event-related potentials (ERP) to clarify the effect of magnetic stimulation on cognitive processing. A figure eight-shaped flat repetitive transcranial magnetic stimulation (rTMS) coil was used to stimulate either the region over the left or the right dorsolateral prefrontal cortex, which is considered to be the origin of the P300 component. Stimulus frequencies were 1.00, 0.75 and 0.50 Hz rTMS. The strength of the magnetic stimulation was set at 80% of the motor threshold for each participant. The auditory oddball task was used to elicit P300s before and shortly after rTMS, and comprised a sequence of sounds containing standard (1 kHz pure tone, 80% of trials) and deviant (2 kHz pure tone, 20% of trials) stimuli. We found that a 1.00 Hz rTMS pulse train over the left dorsolateral prefrontal cortex increased P300 latencies by 8.50 ms at Fz, 12.85 ms at Cz, and 11.25 ms at Pz. In contrast, neither 0.75 and 0.50 Hz rTMS pulse trains over the left dorsolateral prefrontal cortex nor 1.00, 0.75 and 0.50 Hz rTMS pulse trains over the right dorsolateral prefrontal cortex altered P300 latencies. These results indicate that rTMS frequency affects cognitive processing. Thus, we suggest that the effects of rTMS vary according to the activity of excitatory and inhibitory neurons in the cerebral cortex..
47. 早見 武人, 伊良皆 啓治, 長波変動磁界による末梢神経刺激効果の基礎的検討, 電気学会論文誌A(基礎・材料・共通部門誌), http://dx.doi.org/10.1541/ieejfms.133.351, 133, 6, 351-355, 2013.06, Numerical simulation of human and xenopus myelinated nerve magnetic stimulation was executed to compare their excitation thresholds at Low Frequency (LF) band. Currently LF band magnetic field exposure is suppressed during Magnetic Resonance (MR) scanning to avoid possible unexpected sensation and motion, which limits the resolution of MR images. Recently, Weinberg and his colleague reported higher threshold of human peripheral nerve against magnetic field at LF band in their experimental study. Using equvalent circuits of human and xenopus myelinated nerves, their thresholds for LF magnetic field stiumulation were investigated. As a result, the excitation threshold of human nerve for LF magnetic field stimulation with biphasic cosine wave increased exponentially around 100kHz as the frequency increased, which is consistent with the finding of Weinberg et al. and was not observed in xenopus nerve equivalent circuit. The lower axoplasm resistivity of human nerve was considered to be the cause of this feature. .
48. Fumiyoshi Matsusaki, Yoshinori Katayama, Keiji Iramina, Influence of TMS Coil Orientation in the Simulation of Neuronal Excitation by TMS Using an Axon Model and Cerebral Cortex Model, Advanced Biomedical Engineering, DN/JST.JSTAGE/abe/1.55, 1, 1, 55-59, 2013.06, Transcranial magnetic stimulation (TMS) allows non-invasive and painless stimulation of local cerebral nerves using eddy current generated by electromagnetic induction with a TMS coil. Although TMS is used in various fields, which area of the brain is stimulated is not known because of the complicated structure of the organ. In this study, we simulated neuronal excitement by TMS using the finite element method. First, we designed a brain sulcus model consisting of cerebrospinal fluid, gray matter and white matter, using 0.5 mm cube elements. To improve calculation accuracy, cube element size was set to 0.5/3 mm only in regions near the boundary surface. Second, we applied TMS stimulation to the model in different conditions. We used coil radii of 10, 20, 30 and 40 mm, and coil orientation at 0°, 30°, 45°, 60° and 90°, which is defined as the angle between the orientation of the electric field and the axon. Finally, we calculated the membrane potential and compared the results obtained under different conditions. We found that membrane potential changed rapidly at the white matter and gray matter interface when the coil radius was over 20 mm and coil orientation was within 60° between the orientation of the electric field and the axon. These results provide useful information on appropriate TMS parameters for effective stimulation of target area in the brain. .
49. Dilok Puanhvuan, Kazuhisa Nojima, Yodchanan Wongsawat, Keiji Iramina, Effects of Repetitive Transcranial Magnetic Stimulation and Transcranial Direct Current Stimulation on PosteriorAlpha Wave, IEEJ Transactions on Electrical and Electronic Engineering, 10.1002/tee.21849, 8, 3, 263-268, 2013.05, Repetitive transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation (tDCS) are promising tools for painless cortical stimulation. It has been widely use in the clinical field for treating some diseases. In addition, it can also be used for investigating the brain function, e.g. both rTMS and tDCS are possible to be used to inhibit or excite the human brain activities. In biomedical research, one of the most interesting brain activities would be the alpha wave, the oscillation in the range of 8-13 Hz acquired by the non-invasive electroencephalography (EEG). However, the rTMS and tDCS effects on posterior EEG alpha wave remain unclear. This study aimed to investigate the effect of rTMS and tDCS on the posterior alpha wave. The transcranial stimulation effects was observed by analyzing a measured EEG at the occipital area during eyes opened and eyes closed phases, before and after stimulation. The EEG alpha power and alpha coherence were calculated and analyzed in terms of the ratio between eyes closed and eyes opened periods. The results revealed that alpha power ratio at the individual alpha frequency (IAF) significantly increased after the 1Hz rTMS and cathodal tDCS (inhibited condition) and slightly decreased after the anodal tDCS (excited condition) compared to the control and sham condition. The results also showed that there was a significant difference between the inhibited and excited conditions. Similarities were observed in the patterns of alpha coherence ratio and alpha power changes, with respective increased in the rTMS and cathodal tDCS conditions and a decreased in the anodal tDCS condition, but only when comparing across hemispheres (O1-O2 and P3-P4). It could be summarized that the EEG alpha wave could be influenced by the transcranial stimulations. The inhibition and facilitation conditions resulted in the opposite change..
50. Kaori Tamura, Chihiro Karube, Takaaki Mizuba, Keiji Iramina, ERP and time frequency analysis of response to subject's own name , Biomedical Engineering International Conference (BMEiCON), 2012 , 10.1109/BMEiCon.2012.6465434 , 1-4, 2012.12, Hearing one's own name plays an important roll in external communications and internal cognition within our minds. Though hearing one's own name well has been studied, the relationship between hearing one's own name and self-awareness is not understood. In this study, we focused on brain responses to hearing one's own name. In order to assess the pattern of ERP and the power of EEG frequency during hearing one's own name, we used a passive oddball paradigm that included the subject's own name (SON). The grand average ERP showed that mismatch negativity and novelty p300 were elicited by SON. Time frequency analysis revealed that theta power and beta power were increased around 400-600 ms after stimulus by SON..
51. Tesuya Torii, Aya Sato, Masakuni Iwahashi, Keiji Iramina, Frequency Dependence of P300 Latency by Low-Frequency Repetitive Transcranial Magnetic Stimulation, IEEE Transactions on Magnetics, 10.1109/TMAG.2012.2201251 , 48, 11, 2865-2868, 2012.11, The aimof this study was to investigate the effects of repetitive transcranial magnetic stimulation (rTMS) on brain activity. The latency of the P300 component of the event-related potential (ERP) was used to evaluate the effects of low-frequency and short-term rTMS on brain activity.We investigated the effects of rTMS on P300 latencies by stimulating the supramarginal gyrus (SMG), which is considered to be the area of origin of the P300. As the frequency-dependence of low-frequency rTMS has not been previously investigated in detail, we evaluated the effects of rTMS at frequencies of 1, 0.75 or 0.5 Hz on P300 latencies. The odd-ball task was used to elicit P300s before and shortly after the scalp was stimulated by rTMS. Electroencephalography recordings were measured at the Fz, Cz and Pz electrodes, which were based on the international 10–20 electrode system. We found that 1, 0.75 and 0.5 Hz rTMS affected P300 latencies. 1 Hz rTMS of the left SMG shortened P300 latencies by approximately 25 ms at the Cz compared with the P300 latencies before rTMS. 0.5
Hz rTMS of the left SMG lengthened P300 latencies by approximately 20 ms at the Cz compared with the P300 latencies before rTMS. In contrast, 0.75 Hz rTMS of the left SMG did not affect P300 latencies. These results demonstrate that P300 latencies vary according to the frequency of rTMS. .
52. Tesuya Torii, Aya Sato, Masakuni Iwahashi, Keiji Iramina, Transition of After Effect on P300 by Short-Term rTMS to Prefrontal Cortex, IEEE Transactions on Magnetics, 10.1109/TMAG.2012.2204432 , 48, 11, 2873-2876, 2012.11, In the present study, we analyzed the effects of repetitive transcranial magnetic stimulation (rTMS) on brain activity. The latency of the P300 component of the event-related potential (ERP) was used to evaluate the effects of low-frequency rTMS following stimulation of the dorsolateral prefrontal cortex (DLPFC), which is an area considered to be related to the generation of the P300. In addition, prolonged stimulation effects on the P300 latency were analyzed after applying rTMS. A figure-eight coil was used to stimulate the left or right DLPFC, and the intensity of magnetic stimulation was 80% of the motor threshold. A total of 100 magnetic pulses were applied for the rTMS. The effects of stimulation at frequencies of 0.5 or 1 Hz were determined. An odd-ball task was performed before and 5, 10, and 15 minutes after rTMS to measure the effects of rTMS on the P300. Electroencephalography (EEG) was measured at the Fz, Cz and Pz electrodes using the international 10–20 electrode system. We found that 0.5 and 1 Hz rTMS produced different effects on P300 latencies. 1 Hz stimulation of the left DLPFC lengthened P300 latencies by approximately 20 ms at the Cz, which lasted up to 15
minutes post-rTMS. In contrast, 0.5 Hz rTMS stimulation of the left DLPFC and 0.5 and 1 Hz rTMS stimulation to right DLPFC had no significant effects on P300 latencies. These results demonstrate that the effects of rTMS on the P300 latency depend on the frequency of stimulant and the area stimulated. Furthermore, we have determined the duration of this effect of low-frequency and short-term rTMS..
53. 金子 美樹, 亀井 優一朗, 奥井 大志, 石西 洋, 平川 剛, 片山 喜規, 伊良皆 啓治, 3軸加速度・角速度センサを用いた前腕の回内回外運動の定量的評価指標の検討, 電気学会論文誌C (電子・情報・システム部門誌), http://dx.doi.org/10.1541/ieejeiss.132.1575, 132, 10, 1575-1580, 2012.10, The motion of pronation and supination of the forearm is one of findings of soft neurological signs. Soft neurological signs used as diagnosis methods of a developmental disability. The motion of pronation and supination of the forearm is movement to bend elbow to 90 degrees, and to rotate the palm and the back of the hand. When doctor checks this motion, he observes a patient's regularity and dexterity. But there are problems. The one by doctor's personal subjectivity is large, because the evaluation between doctors isn't equable. It is hoped that a more objective and simple evaluation method is established. We developed evaluation system of a motion of pronation and supination of a forearm using three-dimensional wireless acceleration and angular velocity sensors. Our developed evaluation system is a simple and easy system. We think that this system have the potential to be used as the evaluation system for a developmental disability. This paper deals with a examination and details of indices for evaluating a motion of pronation and supination. .
54. Miki kaneko, Hiroshi Okui, Go Hirakawa, HIroshi Ishinishi, Yoshinori Katayama, Keiji Iramina, Aging Curve of Neuromotor Function by Pronation and Supination of Forearms using Three-dimensional Wireless Acceleration and Angular Velocity Sensors, Procdeedings of 34th Annual International Conference of the EMBS San Diego, California USA, 28 August - 1 September, 2012, 4376-4379, 2012.08, We have developed an evaluation system for pronation and supination of forearms. The motion of pronation and supination of the forearm is used as a diagnosis method of developmental disability, etc. However, this diagnosis method has a demerit in which diagnosis results between doctors are not consistent. It is hoped that a more quantitative and simple evaluation method is established. Moreover it is hoped a diagnostic criteria obtained from healthy subjects can be established to diagnose developmental disorder patients. We developed a simple and portable evaluation system for pronation
and supination of forearms. Three-dimensional wireless acceleration and angular velocity sensors are used for this
system. In this study, pronation and supination of forearms of 570 subjects (subjects aged 6-12, 21-100) were examined. We could obtain aging curves in the neuromotor function of pronation and supination. These aging curves obtained by our
developed system, has the potential to become diagnostic criteria for a developmental disability, etc..
55. Tesuya Torii, Aya Sato, Masakuni Iwahashi, Yuji Ito, Keiji Iramina , Time-Dependent Effects of Low-Frequency Repetitive Transcranial Magnetic Stimulation of the Supramarginal Gyrus, Procdeedings of 34th Annual International Conference of the EMBS San Diego, California USA, 28 August - 1 September, 2012, 3372-3375, 2012.08, In this paper, we report our studies of the effects of stimulating the bilateral supramarginal gyrus (SMG) with low-frequency transcranial magnetic stimulation (rTMS) or short-term rTMS on brain excitability in humans. We analyzed the effects of various durations of stimulation on P300 latencies of the event-related potential (ERP). Magnetic pulses were
delivered using a figure-eight flat coil. The intensity of rTMS was set to 80 % of the subject’s motor threshold. In each round of rTMS, 100 magnetic pulses were applied over the scalp at frequencies of 1.00, 0.75, and 0.50 Hz. ERPs were measured prior to magnetic stimulation as a control. The effects of magnetic stimulation were then determined by measuring its effects on P300 latencies elicited by an odd-ball task. These latencies were measured before and 0, 5, 10, and 15 min after the magnetic stimulation. 1.00 Hz low-frequency rTMS of the left SMG decreased P300 latencies for approximately 10 min. In contrast, 0.50 Hz rTMS of the left SMG resulted in delayed P300 latencies for approximately 15 min. We furthermore found that 0.75 Hz rTMS of the left SMG and 1.00, 0.75 and 0.5 Hz rTMS of the right SMG did not affect P300 latencies. These results suggest that the duration of the effects of rTMS depend on the frequency of stimulation..
56. Mingdi Xu, Johan Lauwereyns, Keiji Iramina, Dissociation of category versus item priming in face processing: an event-related potential study , Cognitive Neurodynamics , 10.1007/s11571-011-9185-6, 6, 2, 155-167, 2012.04, The underlying specificity of visual object categorization and discrimination can be elucidated by studying different types of repetition priming. Here we focused on this issue in face processing. We investigated category priming (i.e. the prime and target stimuli represent different exemplars of the same object category) and item priming (i.e. the prime and target stimuli are exactly the same image), using an immediate repetition paradigm. Twenty-three subjects were asked to respond as fast and accurately as possible to categorize whether the target stimulus was a face or a building image, but to ignore the prime stimulus. We recorded event-related potentials (ERPs) and reaction times (RTs) simultaneously. The RT data showed significant effects of category priming in both face trials and building trials, as well as a significant effect of item priming in face trials. With respect to the ERPs, in face trials, no priming effect was observed at the P100 stage, whereas a category priming effect emerged at the N170 stage, and an item priming effect at the P200 stage. In contrast, in building trials, priming effects occurred already at the P100 stage. Our results indicated that distinct neural mechanisms underlie separable kinds of immediate repetition priming in face processing.
.
57. Tetsuya Torii, Aya Sato, Masakuni Iwahashi, and Keiji Iramina, Effects of low-frequency repetitive transcranial magnetic stimulation on event-related potential P300, Journal of Applied Physics, 10.1063/1.3676204 , 111, 07B319, 2012.03, The present study analyzed the effects of repetitive transcranial magnetic stimulation (rTMS) on brain activity. P300 latency of event-related potential (ERP) was used to evaluate the effects of low-frequency and short-term rTMS by stimulating the supramarginal gyrus (SMG), which is considered to be the related area of P300 origin. In addition, the prolonged stimulation effects on P300 latency were analyzed after applying rTMS. A figure-eight coil was used to stimulate left-right SMG, and intensity of magnetic stimulation was 80% of motor threshold. A total of 100 magnetic pulses were applied for rTMS. The effects of stimulus frequency at 0.5 or 1 Hz were determined. Following rTMS, an odd-ball task was performed and P300 latency of ERP was measured. The odd-ball task was performed at 5, 10, and 15 min post-rTMS. ERP was measured prior to magnetic stimulation as a control. Electroencephalograph (EEG) was measured at Fz, Cz, and Pz that were indicated by the international 10–20 electrode system. Results demonstrated that different effects on P300 latency occurred between 0.5–1 Hz rTMS. With 1 Hz low-frequency magnetic stimulation to the left SMG, P300 latency decreased. Compared to the control, the latency time difference was approximately 15 ms at Cz. This decrease continued for approximately 10 min post-rTMS. In contrast, 0.5 Hz rTMS resulted in delayed P300 latency. Compared to the control, the latency time difference was approximately 20 ms at Fz, and this delayed effect continued for approximately 15 min post-rTMS. Results demonstrated that P300 latency varied according to rTMS frequency. Furthermore, the duration of the effect was not similar for stimulus frequency of low-frequency rTMS..
58. Tetsuya Torii, Aya Sato, Y Masada, Masakuni Iwahashi, Keiji Iramina, Effect of the short-term magnetic stimulation by rTMS on P300 latency, Proceedings in Biomedical Engineering International Conference (BMEiCON 2011) , 10.1109/BMEiCon.2012.6171988 , 7-10, 2012.01, The purpose of this study is to investigate the effect of P300 latency in case of magnetic stimulation to human brain by rTMS. This stimulation is 100 pulses with 1 Hz or 0.5 Hz low-frequency. The stimulation points are left-right SMG and left-right DLPFC. In case of 1 Hz magnetic stimulation to left SMG, P300 latency after the magnetic stimulation was shorter than P300 latency before the magnetic stimulation. In case of 1 Hz low-frequency magnetic stimulation to left DLPFC, P300 latency after the magnetic stimulation was later than before the magnetic stimulation. In case of 0.5 Hz low-frequency magnetic stimulation to left SMG, the delay of P300 latency was observed. Generally, in the low-frequency magnetic stimulation equal to or less than 1 Hz, the brain activity is inhibited by stimulating the brain. The activity of left SMG is excited at 1 Hz and inhibited at 0.5 Hz. As this reason, at first, in this study, the frequency of the magnetic stimulation is just 1 Hz and this frequency is border of low-frequency and high-frequency. Secondarily, the sensitivity for the magnetic stimulation varies by parts of brain. Therefore, this study suggests that left SMG is activated by the short-term magnetic stimulation using rTMS (1 Hz, 100 pulses). .
59. Miki Kaneko, Keiji Iramina, Takashi Ohya, Yushiro Yamashita, Yuichiro Kamei, Yoshinori Katayama, Sachio Takashima, A measurement of soft neurological signs by pronosupination using wireless acceleration and angular velocity sensors, Proceedings in Biomedical Engineering International Conference (BMEiCON 2011)
, 10.1109/BMEiCon.2012.6172050, 194-197, 2012.01, We developed an evaluation system for soft neurological signs by pronosupination of forearm using wireless acceleration and angular velocity sensors. We could obtain reference curves of the neuromotor development for elementary school children using this system. The purpose of this system is screening the developmental disorder. We measured the pronosupination of five children suspected of having ADHD (children aged 7-12). We examined the difference of neuromotor development between normally developed children and children suspected of having ADHD. Measured results show children suspected of having ADHD have low performance compared with normally developed child..
60. Takahiro Ikuno, Yoshinori Katayama, Keiji Iramina, Selection and removal of artifacts in EEG based on independent components, Proceedings in Biomedical Engineering International Conference (BMEiCON 2011), 10.1109/BMEiCon.2012.6172067 , 266-268, 2012.01, We developed an evaluation system for soft neurological signs by pronosupination of forearm using wireless acceleration and angular velocity sensors. We could obtain reference curves of the neuromotor development for elementary school children using this system. The purpose of this system is screening the developmental disorder. We measured the pronosupination of five children suspected of having ADHD (children aged 7-12). We examined the difference of neuromotor development between normally developed children and children suspected of having ADHD. Measured results show children suspected of having ADHD have low performance compared with normally developed child..
61. Kazuhisa Nojima, Ge Sheng, Yoshinori Katayama, Keiji Iramina, Relationship between pulse number of rTMS and inter reversal time of perceptual reversal , 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
, 10.1109/IEMBS.2011.6091999 , 8106 - 8109 , 2011.08, The aim of this study is to investigate the stimulus parameter which affects the repetitive Transcranial Magnetic Stimulation (rTMS) effect. It is said that the condition under 1Hz rTMS induces the inhibition effect. On the other hand, the condition over 1Hz rTMS induces the facilitation effect. However the number of pulses of rTMS is also important factor. In this study, we focused on the number of pulses. We used the cognitive task of perceptual reversal and compared the rTMS effects of different condition under 1Hz which is the inhibition condition. It has been known that the right superior parietal lobule (SPL) has a role in perceptual reversal. We applied rTMS over the SPL and measured the inter-reversal time (IRT) of perceptual reversal. The results showed that when 0.25Hz 60pulses, 0.5Hz 60pulses and 1Hz 60pulses of rTMS was applied over the right SPL, the IRT was significantly smaller. On the other hand, when 1Hz 240pulses of rTMS was applied over the right SPL, the IRT was significantly longer. When 0.25Hz 120pulses, 0.5Hz 120pulses and 1Hz 120pulses of rTMS was applied over the right SPL, there were no significant differences. Furthermore, to investigate the rTMS effects, when rTMS are applied over the motor area, we measured the motor evoked potential (MEP). The more pulses of rTMS was applied, the smaller the amplitude of MEP became. From these results, it was found that the IRT of perceptual reversal and the amplitude of MEP primarily affected by the number of pulses of rTMS. .
62. Keiji Iramina, Yoshinori Katayama, Yuichiro Kamei, Evaluation system for minor nervous dysfunction by pronation and supination of forearm using wireless acceleration and angular velocity sensors, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 10.1109/IEMBS.2011.6091841 , 7364 - 7367 , 2011.08, We developed a simple, portable and easy system to the motion of pronation and supination of the forearm. This motion was measured by wireless acceleration and angular velocity sensor. The aim of this system is evaluation of minor nervous dysfunction. It is for the screening of the developmental disorder child. In this study, in order to confirm the effectiveness of this system, the reference curve of the neuromotor development was experimentally obtained. We studied 212 participants (108 males, 104 females) aged 7 to 12 years attending the kindergarten school. We could obtain the reference curve of the neuromotor development using this system. We also investigated the difference of neuromotor function between normally developed children and a ADHD child. There is a possibility that abnormality of the minor nervous dysfunction can be detected by using this system. .
63. Mingdi Xu, Keiji Iramina, The influence of stimulus onset asynchrony on neuronal suppressive phenomenon in face processing: An event-related potential study, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 10.1109/IEMBS.2011.6090956 , 3849 - 3852 , 2011.08, It has been reported that if two sensory stimuli are presented consecutively with stimulus onset asynchrony (SOA) of as short as several hundreds of milliseconds, the neural activity, elicited by the second stimulus, in the stimulus-sensitive area will be inhibited, say, suppressive phenomenon. Using a paired-stimulus paradigm, in which two visual stimuli were successively presented, we investigated the influence of SOA (200ms, 400ms & 600ms) on suppressive phenomenon in face processing. Twelve subjects were asked to passively view randomly ordered paired stimuli and single stimuli, while their event-related potentials (ERPs) were recorded simultaneously. To evaluate the suppression, we compared the ERPs elicited by the second face stimulus of the paired stimuli with that elicited by the single face stimulus. It was found that, comparing with the ERPs elicited by single faces, in all three SOA conditions, the ERPs elicited by the second face stimulus of the intra-category trials (face_face trials) were more suppressed than those of the inter-category trials (blank_face and building_face trials) in both occipitotemporal and frontal regions. We surmised that these results might support a “domain specific” theory, which suggested that visual processing of faces and non-face objects involve separate and specialized networks in the ventro-lateral temporal cortex. Interestingly, for the face_face trials, as the SOA increased, the ERP suppression in the frontal region diminished gradually. Such phenomenon might be due to the lasting effect of semantic processing for the first face stimulus..
64. Yoshinori Katayama, Keiji Iramina, Fitting and Eliminating to the TMS Induced Artifact on the Measured EEG by the Equivalent Circuit Simulation Improved Performance, IFMBE proceedings 5th Kuala Lumpur International Conference on Biomedical Engineering 2011 , 35, 519-522, 2011.06.
65. Kazuhisa Nojima, Yoshinori katayama, Keiji Iramina, Number of pulses of rTMS affects the inter-reversal time of perceptual reversal, IFMBE proceedings 5th Kuala Lumpur International Conference on Biomedical Engineering 2011 , 35, 336-339, 2011.06.
66. Tetsuya Torii, Kazuhisa Nojima, Atsushi Matsunaga, Masakuni Iwahashi, Keiji Iramina, Comparison of Influences on P300 Latency in the Case of Stimulating Supramarginal Gyrus and Dorsolateral Prefrontal Cortex by rTMS, IFMBE proceedings 5th Kuala Lumpur International Conference on Biomedical Engineering 2011 , 35, 492-495, 336-339, 2011.06.
67. 溝上由紀子 松尾久美子 松藤まゆみ 伊良皆啓治 藤山沙紀 高嶋幸男, 重症心身障害児に対する音楽療法の実際 -声を介した相互的関わり, 日本重症心身障害学会誌, 36, 1, 175-180, 2011.04.
68. 片山 喜規  森 友樹  津山 靖智 伊良皆 啓治, シミュレーションによる経頭蓋磁気刺激の最適なコイル条件の決定, 日本生体磁気学会誌, 22, 2011.03.
69. Keiji Iramina, Kana Matsuda, Junko Ide, Yukio Noguchi, Monitoring system of neuronal activity and moving activity without restraint using wireless EEG, NIRS and accelerometer
, 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES), , 10.1109/IECBES.2010.5742285 , 481 - 484, 2010.12.
70. Atsushi Matsunaga, Kazuhisa Nojima, Masakuni Iwahashi, Yoshinori Katayama, Keiji Iramina, The effect of TMS to supramarginal gyrus on event-related potential P300, 2010 IEEE Region 10 Conference, 10.1109/TENCON.2010.5686122, 1757-1760, 2010.11.
71. Kazuhisa Nojima, Yoshinori Katayama. Keiji Iramina, Change of EEG activity by repetitive Transcranial Magnetic Stimulation, 2010 IEEE Region 10 Conference, 10.1109/TENCON.2010.5686653 , 355-358, 2010.11.
72. Daisuke Nomura, Yoshinori Katayama, Keiji Iramina, The long-lasting effect caused by direct current for somatosensory evoked potentials and high frequency oscillations, 2010 IEEE Region 10 Conference, 10.1109/TENCON.2010.5686656 , 369-372, 2010.11.
73. Kazuhisa Nojima, Ge Sheng, Yoshinori Katayama, Keiji Iramina, Time change of perceptual reversal of ambiguous figures by rTMS
, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
, 10.1109/IEMBS.2010.5627115 , 6759-6582, 2010.09.
74. Kana Matsuda, Saki Fujiyama, Keiji Iramina, NON-RESTRAINT MEASUREMENT OF BRAIN ACTIVITY OF THE CHILD WITH MENTAL RETARDATION USING WIRERESS EEG AND WIRELESS NIRS, The 3rd Biomedical Engineering International Conference 2010, 222-224, 2010.08.
75. Daisuke Nomura, Yoshinori Katayama, Keiji Iramina, LONG – TERM CHANGES OF HIGH FREQUENCY COMPONENTS CAUSED BY DIRECT CURRENT STIMULATIONS OVER SOMATOSENSOERY CORTEX, The 3rd Biomedical Engineering International Conference 2010, 193-195, 2010.08.
76. Keiichiro Koga, Keiji Iramina, MEASUREMENT OF EEG DURING WALKING USING WIRELESS TRANSMITTING EEG, The 3rd Biomedical Engineering International Conference 2010, 151-153, 2010.08.
77. Kazuhisa Nojima, Ge Sheng, Yoshinori Katayama, Shoogo Ueno, Keiji Iramina, Effect of the stimulus frequency and pulse number of rTMS on the inter-reversal time of perceptual reversal on the right SPL, Journal of Applied Physics, 10.1063/1.3357987 , 107, 09B320 1-3, 2010.05.
78. Nicolas A Zilber, Yoshinori Katayama, Keiji Iramina, Wintermantel Erich, Efficiency test of filtering methods for the removal of transcranial magnetic stimulation artifacts on human electroencephalography with artificially transcranial magnetic stimulation-corrupted signals
, Journal of Applied Physics, 10.1063/1.3357345 , 107, 9, 09B305 - 09B305-3 , 2010.05.
79. K. Iramina, Effect of Transcranial Magnetic Stimulation(TMS) on Visual Search Task, INTERNATIONAL JOURNAL OF APPLIED BIOMEDICAL ENGINEERING, Vol.2 , No.2 , 1-8, 2009.12.
80. Seichi Tsuyama, Yoshinori Katayama, Akira Hyodo, Shoogo Ueno, Keiji Iramina, Effects of Coil Parameters on the Stimulated Area by Transcranial Magnetic Stimulation, IEEE Transactions on Magnetics, Vol. 45, 4845-4848, 2009.10.
81. Yoshinori Katayama, Keiji Iramina, Equivalent Circuit Simulation of the Induced Artifacts Resulted From Transcranial Magnetic Stimulation on Human Electroencephalography, IEEE Transactions on Magnetics, Vol. 45 4833-4836, 2009.10.
82. Akira Hyodo, Shoogo ueno, Keiji Iramina, Influence of Coil Current Configuration in Magnetic Stimulation of a Nerve Fiber in Inhomogeneous and Anisotropic Conducting Media, Proceedings of 31th Annual International IEEE EMBS Conference, MInneapolis, Minnesota,USA, September 2-6, 2009, 6501-6503, 2009.09.
83. Masakuni Iwahashi, Yoshinori Katayama, Shoogo ueno, Keiji Iramina, Effect of Transcranial Magnetic Stimulation on P300 of Event-Related Potential, Proceedings of 31th Annual International IEEE EMBS Conference, MInneapolis, Minnesota,USA, September 2-6, 2009, 1359-1362, 2009.09.
84. Mingdi XU, Saki Fujiyama, Keiji Iramina, Suppressive phenomenon in the higher-order functional regions: An EEG study with paired stimulus paradigm, Brain Topography and Multimodal Imaging, Proceedings of the 18th International Congress on Brain Electromagnetic Topography, 31-34, 2009.09.
85. Takahiro Matsunaga, Tetsuya Fukuta, Yoshinori Katayama, Keiji Iramina, Analysis of evoked response and induced response in alpha wave and gamma wave during visual attention, Brain Topography and Multimodal Imaging, Proceedings of the 18th International Congress on Brain Electromagnetic Topography, 23-26, 2009.09.
86. Saki Fujiyama, Keiji Iramina, Measurement of brain activity in children without restraint using wireless EEG, Brain Topography and Multimodal Imaging, Proceedings of the 18th International Congress on Brain Electromagnetic Topography, 195-198, 2009.09.
87. Akira Hyodo, Takehito Hayami, Seichi Tsuyama, Keiji Iramina, and Shoogo Ueno, Effects of stimulus parameters and tissue inhomogeneity on nerve excitation processes in magnetic stimulation of the brain, J. Appl. Phys., Vol. 105, 07B304, 2009.04.
88. Masakuni Iwahashi, Yohei Koyama, Akira Hyodo, Takehito Hayami, Shoogo Ueno, and Keiji Iramina, Measurements of evoked electroencephalograph by transcranial magnetic stimulation applied to motor cortex and posterior parietal cortex
, J. Appl. Phys., Vol. 105, 07B321, 2009.04.
89. Keiji Iramina, Sheng Ge, Akira Hyodo, Takehito Hayami, and Shoogo Ueno, Disturbance of visual search by stimulating to posterior parietal cortex in the brain using transcranial magnetic stimulation, J. Appl. Phys., Vol. 105, 07B302, 2009.04.
90. Takehito Hayami, Keiji Iramina, Akira Hyodo, Xian Chen, and Kenji Sunagawa, Detection of a diabetic sural nerve from the magnetic field after electric stimulation, J. Appl. Phys., Vol. 105, 07B315, 2009.04.
91. 片山 喜規,伊良皆 啓治, 経頭蓋磁気刺激による脳波中の誘導ノイズアーチファクトのシミュレーションにおける生体等価回路, 日本生体磁気学会誌, Vol. 20, No.2, 33-38, 2009.03.
92. Seichi Tsuyama, Akira Hyodo, Masaki Sekino, Takehito Hayami, Shoogo Ueno and Keiji Iramina, The numeric calculation of eddy current distributions in transcranial magnetic stimulation, Proceedings of 30th Annual International IEEE EMBS Conference, Vancouver, British Columbia, Canada, August 20-24, 2008, 4286-4289, 2008.08.
93. Takahiro Matsunaga, Yoshinori Katayama, Takehito Hayami, Keiji Iramina, Measurements of the mu/beta ERD and gamma ERS during the imagination of body parts movement, Proceedings of 30th Annual International IEEE EMBS Conference
Vancouver, British Columbia, Canada, August 20-24, 2008
, 4130-4133, 2008.08.
94. Saki Fujiyama Yul-Wan SUNG Seiji Ogawa Takehito Hayami Keiji Iramina, Measurement of Evoked Potential in Recognition of Faces and Buildings, Proceedings of 30th Annual International IEEE EMBS Conference
Vancouver, British Columbia, Canada, August 20-24, 2008
, 4126-4129, 2008.08.
95. M. Iwahashi, T. Arimatsu, S. Ueno, and K. Iramina, Differences in Evoked EEG by Transcranial Magnetic Stimulation at Various Stimulus Points on the Head, Proceedings of 30th Annual International IEEE EMBS Conference
Vancouver, British Columbia, Canada, August 20-24, 2008
, 2570-2573, 2008.08.
96. Sheng Ge, Shoogo Ueno, Keij Iramina, Effects of Repetitive Transcranial magnetic Stimulation on Perceptual Reversal, Journal of the Magnetics Society of Japan, Vol.32 No.4, 458-461, 2008.07.
97. 佐藤秀之,有松孟,上野照剛,葛 盛,伊良皆啓治, 運動野と後頭頂葉での経頭蓋磁気刺激誘発反応の違い, Journal of the Magnetics Society of Japan, Vol.32 No.4, 495-498, 2008.07.
98. Sheng Ge, Makoto Ichikawa, Atsushi Osa, Keiji Iramina, Hidetoshi Miike, Spatial and Temporal Frequency Tuning of Motion-in-Depth Aftereffect, IEEJ Transactions on Electronics, Information and Systems, Vol. 128, No.7, 1015-1022, 2008.07.
99. Mingdi Xu, Takehito Hayami, Keiji Iramina, Discrimination of Finger Area of Somatosensory Cortex by NIRS, IEEJ Transactions on Electronics, Information and Systems, Vol. 128, No.7, 1183-1184, 2008.07.
100. 早見武人,伊良皆啓治,陳 献,砂川賢二, 神経線維消失における末梢神経磁界, Journal of the Magnetics Society of Japan, Vol.32 No.2-1, 97-102, 2008.03.
101. K. Iramina, T. Hyami, G. Sheng, Effect of Transcranial Magnetic Stimulation on Visual Perception, Proceedings of the International Symposium on Biological and Physiological Engineering, 50-53, 2008.01.
102. 早見武人 伊良皆啓治 陳 献 砂川賢二, 感覚神経活動電位へのモデリングアプローチ, 認知神経科学, Vol.9, No.3, 252-256, 2007.12.
103. 伊良皆啓治 松岡彬 葛 盛 早見武人 , 経頭蓋磁気刺激を用いた視覚探索課題の時間特性, 認知神経科学, Vol.9, No.3, 241-245, 2007.12.
104. Sheng Ge, Makoto Ichikawa, Atsushi Osa, Keiji Iramina, Hidetoshi Miike, The Proposal of a Neuron Model in Consideration of Facilitation and Fatigue, 電気学会論文誌 電子・情報・システム, Volume 127-C Number 10, 1673-1679, 2007.10.
105. 早見武人,伊良皆啓治,陳  献, 細胞外組織の抵抗率が有髄神経線維の閾値に与える影響, 電気学会論文誌 電子・情報・システム, Volume 127-C Number 10, 1667-1672, 2007.10.
106. Sheng Ge, Akira Matsuoka, Shoogo Ueno, Keiji Iramina , A Study of Temporal Aspect of Posterior Parietal Cortex in Visual Search Using Transcranial Magnetic Stimulation , 電気学会論文誌 電子・情報・システム, Volume 127-C Number 10, 1651-1657, 2007.10.
107. Hirotsugu Takata, Mingdi Xu, Takehito Hayami and Keiji Iramina, Effect of Electrical Stimulus Intensity to Hemodynamic Responses of Somatosensory cortex, Proc. of the Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging, 280-282, 2007.10.
108. Takeshi Arimatsu, Hideyuki Sato, Sheng Ge, Shoogo Ueno, Keiji Iramina, Measurements of EEG Evoked by Transcranial Magnetic Stimulation at Various Stimulus Points on the Head, Proc. of the Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging, 334-337, 2007.10.
109. Mingdi XU, Hirotsugu Takata, Sheng Ge, Takehito Hayami, Takao Yamasaki, Shozo Tobimatsu, Keiji Iramina, NIRS Measurement of Hemodynamic Evoked Responses in the Primary Sensorimotor Cortex, Proceedings of the 29th IEEE EMBS Annual International Conference, pp.2492-2495, 2007.08.
110. Akira Matsuoka, Yuuji Kawamura, Sheng Ge, Shoogo Ueno, Keiji Iramina, Temporal aspect of three visual search tasks by using TMS, Proceedings of the 29th IEEE EMBS Annual International Conference, pp.4751-4754, 2007.08.
111. Sheng Ge, Shoogo Ueno and Keiji Iramina, The rTMS Effect on Perceptual Reversal of Ambiguous Figures, Proceedings of the 29th IEEE EMBS Annual International Conference, pp.4743-4746, 2007.08.
112. Takehito Hayami, Keiji Iramina, Xian Chen and Kenji Sunagawa, Simulation Study on the Effect of Fiber Loss to the Compound Action Potential of a Sural Nerve, Proceedings of the 29th IEEE EMBS Annual International Conference, pp.2396-2399, 2007.08.
113. Keiji Iramina, Shoogo Ueno, High Spatial Resolutional Measurementof Biomagnetic Field, IEEE Transactions on Magnetics, Volume 43, Issue 6, 2477 - 2479, 2007.06.
114. Takehito Hayami, Keiji Iramina, Xian Chen, Modeling Complex Current Waves of a Sural Nerve after Electric Stimulation in case of A Thin Myelin Sheath, Proceedings of 2007 IEEE/ICME International Conference on Complex Medical Engineering, 1882-1886, 2007.05.
115. Mingdi XU, Hirotsugu TAKATA, Sheng GE, Takehito HAYAMI, Takao YAMASAKI, Shoozo TOBIMATSU, Keiji IRAMINA , Responses in the Primary Somatosensory Cortex by Finger Stimulation, Proceedings of 2007 IEEE/ICME International Conference on Complex Medical Engineering, 1450-1454, 2007.05.
116. Sheng GE, Shoogo UENO, Keiji IRAMINA, Repetitive Transcranial Magnetic Stimulation Effect on Perceptual Reversals of Ambiguous Figures , Proceedings of 2007 IEEE/ICME International Coferece on Complex Medical Engineering, 1425-1428, 2007.05.
117. Sheng Ge, Shoogo Ueno, and Keiji Iramina, Temporal Analysis of Visual Search Task by Transcranial Magnetic Stimulation, Proceedings of PIERS 2007, 241‐243, 2007.03.
118. Takehito Hayami and Keiji Iramina, Magnetic Field Produced by Compound Action Potential of Degenerated Human Nerve, Proceedings of PIERS 2007, 1929-1931, 2007.03.
119. Sheng Ge, Takashi Saito, Jing-long Wu, Jun-ichi Ogasawara, Shuichi Yamauchi, Naofumi Matsunaga, Keiji Iramina, The Neural Substrates for Letter String Readings in The Normal and Reverse Directions: An fMRI Study, IEEJ Transactions on Electronics, Information and Systems, Vol.127, No.3, 353-358, 2007.03.
120. Klevest Gjini, Takashi Maeno, Keiji Iramina, Joji Ando, Shoogo Ueno, Working memory processing of natural environmental scenes in the human brain revealed by MEG, International Congress Series, 1300, 409-412, 2007.01.
121. Sheng Ge, Akira Matsuoka, Shoogo Ueno, keiji Iramina, Transcranial magnetic stimulation study of temporal aspect of posterior parietal cortex in visual search, International Congress Series, 1300, 287-290, 2007.01.
122. 葛盛,斉藤俊,呉景龍,伊良皆啓治, On中心型網膜受容野モデルによる錯視の成因分析, 生体医工学, Vol.44, No.4, 576-581, 2006, 2006.12.
123. Sheng Ge, Akira Matsuoka, Shoogo Ueno, Keiji Iramina, TMS effect on visual search task, Proceedings of the 28th IEEE EMBS Annual International Conference, pp.1118-1120, 2006.09.
124. Sheng Ge, Takashi Saito, Jing-Long Wu, Keiji Iramina, A study on some optical illusions based upon the theory of inducing field, Proceedings of the 28th IEEE EMBS Annual International Conference, 4205-4208, 2006.09.
125. Akira Matsuoka, Sheng Ge, Shoogo Ueno, Keiji Iramina, A TMS study of temporal aspect of the posterior parietal cortex involved in visual search, Proceedings of World Congress on Medical Physics and Biomedical Engineering 2006, 2656-2658, 2006.08.
126. Yuji Matsumoto, Sheng Ge, Keiji Iramina, Measurement of visual evoked potential by facial perception, Proceedings of World Congress on Medical Physics and Biomedical Engineering 2006, 2659-2661, 2006.08.
127. Hideyuki Sato, Sheng Ge, Keiji Iramina, Shoogo Ueno , Evoked EEG mapping during transcranial magnetic stimulation, Proceedings of World Congress on Medical Physics and Biomedical Engineering 2006, 2669-2671, 2006.08.
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