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EEG 코히런스에 의한 집중한 손 동작 예측에 관한 연구

The Research on Prediction of Attentive Hand Movement using EEG Coherence

  • 우진철 (상명대학교 문화컨텐츠 기술 연구소) ;
  • 황민철 (상명대학교 디지털미디어학과) ;
  • 김종화 (상명대학교 일반대학원 감성공학과) ;
  • 김치중 (상명대학교 일반대학원 컴퓨터과학과) ;
  • 김용우 (상명대학교 일반대학원 컴퓨터과학과) ;
  • 김지혜 (상명대학교 일반대학원 컴퓨터과학과) ;
  • 김동근 (상명대학교 디지털미디어학과)
  • Woo, Jin-Cheol (Culture Technology Institute, Sangmyung University) ;
  • Whang, Min-Cheol (Department of Digital Media Engineering, Sangmyung University) ;
  • Kim, Jong-Wha (Department of Emotion Engineering, Sangmyung University The Graduate School) ;
  • Kim, Chi-Joong (Department of Computer Science, Sangmyung University The Graduate School) ;
  • Kim, Yong-Woo (Department of Computer Science, Sangmyung University The Graduate School) ;
  • Kim, Ji-Hye (Department of Computer Science, Sangmyung University The Graduate School) ;
  • Kim, Dong-Keun (Department of Digital Media Engineering, Sangmyung University)
  • 발행 : 2010.04.30

초록

The study is to find relative EEG power spectrum and pattern of coherence discriminating attentive and inattentive hand movements. Eight undergraduate students aged from 20 to 27 who had not hand disability participated in this study. Participants were asked to perform visuo-motor task. EEG was measured at C3 in 10~20 international system and four areas orthogonally directed 2.5cm away from C3. Significant result discriminating movement and rest was found through coherence analysis between movement areas or movement area and non-movement area, but was individually different. Because it was anticipated that major factors caused by the differences among individuals were attributed to the attention of the subjects, relative power of alpha and beta bands was identified. As a result, significant relative powers of alpha and beta bands were found in a group of high coherence level, but were not found in a group of low level. Next, participants were divided into two groups according to relative powers of alpha and beta bands. The comparison between two groups was performed. As a result, the coherence of the alpha band in the attentive group was greater than that of the inattentive group. It was found that the coherence of the beta band in the inattentive group was happening. Therefore, individual differences of coherence were influenced by attention. The significant coherence patterns that could discriminate attentive movement and inattentive movement were found.

키워드

참고문헌

  1. 김영주, 황민철, 강희, and 김종화, 'Brain Computer Interface를 위해 Independent Component Analysis 적용한 실시간 ERD (Event Related Desynchronization), ERS (Event Related Synchronization) 추출기', 대한인간공학회 학술대회논문집 대한인간공학회 2007 추계 학술대회, 55-59, Pusan. Korea, 2007.
  2. 김영주, 황민철, and 강희, EEG와 EMG의 Coherence을 이용한 BCI 연구, 대한인간공학회 대한인간공학회지, 27(2), 9-14, 2008.
  3. 황민철, 최철., 컴퓨터와 인터페이스를 위한 뇌파의 ERD/ERS와 동작반복도간의 상관성에 관한 연구, Journal of the Ergonomics Society of Korea, 23(4), 57-66, 2004. https://doi.org/10.5143/JESK.2004.23.4.057
  4. Aoki, F., Fetz, E. E., Shupe, L., Lettich, E. and Ojemann, G. A., Changes in power and coherence of brain activity in human sensorimotor cortex during performance of visuomotor tasks, Biosystems, 63(1-3), 89-99, 2001. https://doi.org/10.1016/S0303-2647(01)00149-6
  5. Babiloni, C., Brancucci, A., Vecchio, F., Arendt-Nielsen, L., Chen, A. C. N. and Rossini, P. M., Anticipation of somatosensory and motor events increases centro-parietal functional coupling: An EEG coherence study, Clinical Neurophysiology, 117(5), 1000-1008, 2006. https://doi.org/10.1016/j.clinph.2005.12.028
  6. Carrillo-de-la-Pe, M. T. and Garcia-Larrea, L., Right frontal event related EEG coherence (ERCoh) differentiates good from bad performers of the Wisconsin Card Sorting Test (WCST), Neurophysiologie Clinique/ Clinical Neurophysiology, 37(2), 63-75, 2007. https://doi.org/10.1016/j.neucli.2007.02.002
  7. Clarke, A. R., Barry, R. J., Heaven, P. C. L., McCarthy, R., Selikowitz, M. and Byrne, M. K., EEG in adults with Attention-Deficit/Hyperactivity Disorder, International Journal of Psychophysiology, 70(3), 176-183, 2008. https://doi.org/10.1016/j.ijpsycho.2008.07.001
  8. Clarke, A. R., Barry, R. J., McCarthy, R., Selikowitz, M., Johnstone, S. J., Hsu, C.-I., Magee, C. A., Lawrence, C. A. and Croft, R. J., Coherence in children with Attention-Deficit/Hyperactivity Disorder and excess beta activity in their EEG, Clinical Neurophysiology, 118(7), 1472 -1479, 2007.
  9. Kristeva, R., Patino, L. and Omlor, W., Beta-range cortical motor spectral power and corticomuscular coherence as a mechanism for effective corticospinal interaction during steady-state motor output, NeuroImage, 36(3), 785-792, 2007. https://doi.org/10.1016/j.neuroimage.2007.03.025
  10. Manganotti, P., Gerloff, C., Toro, C., Katsuta, H., Sadato, N., Zhuang, P., Leocani, L. and Hallett, M., Task-related coherence and task-related spectral power changes during sequential finger movements, Electroencephalography and Clinical Neurophysiology/ Electromyography and Motor Control, 109(1), 50-62, 1998. https://doi.org/10.1016/S0924-980X(97)00074-X
  11. Marie T. Banich, Cognitive Neuroscience and Neuropsychology, 2/e, Houghton Mifflin Company, 2004.
  12. Mincheol Whang, Jincheol Woo, and Jongwha Kim., 'The research on EEG coherence around central area of left hemisphere according to grab movement of right hand', HCI International 2009, San Diego. CA, 2009.
  13. Moore, R. A., A. Gale, P. H. Morris, and Forrester, D., Alpha power and coherence primarily reflect neural activity related to stages of motor response during a continuous monitoring task, International Journal of Psychophysiology, 69(2), 79-89, 2008. https://doi.org/10.1016/j.ijpsycho.2008.03.003
  14. Ruchkin, D., EEG coherence, International Journal of Psychophysiology, 57(2), 83-85, 2005. https://doi.org/10.1016/j.ijpsycho.2005.04.001
  15. Sauseng, P. and Klimesch, W., What does phase information of oscillatory brain activity tell us about cognitive processes?, Neuroscience & Biobehavioral Reviews, 32(5), 1001-1013, 2008. https://doi.org/10.1016/j.neubiorev.2008.03.014
  16. Van Gerven, M. and Jensen, O., Attention modulations of posterior alpha as a control signal for two-dimensional brain-computer interfaces, Journal of Neuroscience Methods, 179(1), 78-84, 2009. https://doi.org/10.1016/j.jneumeth.2009.01.016