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A Research on BCI using Coherence between EEG and EMG

EEG와 EMG의 Coherence을 이용한 BCI 연구

  • Kim, Young-Joo (Department of Computer Science, Sangmyung University) ;
  • Whang, Min-Cheol (Division of Digital Media Engineering, Sangmyung University) ;
  • Kang, Hee (Brainware Research Center, Sangmyung University)
  • 김영주 (상명대학교 컴퓨터과학과) ;
  • 황민철 (상명대학교 디지털미디어학부) ;
  • 강희 (상명대학교 뇌정보통신연구소)
  • Published : 2008.06.01

Abstract

Coherence can be used to evaluate the functional cortical connections between the motor cortex and muscle. This study is to find coherence between EEG (electroencephalogram) and EMG (electromyogram) evoked by movement of a hand. Seven healthy participants were asked to perform thirty repetitive movement of right hand for ten seconds with rest for ten seconds. Specific feature of EEG components has been extracted by ICA (independent component analysis) and coherence between EEG and EMG was analyzed from data measured EEG in five local areas around central part of head and EMG in flexer carpri radialis muscle during grabbing movement. Coherence between EEG and EMG was successfully obtained at 0.025 confidence limit during hand movement and showed significant difference between rest and movement at 13-18Hz.

Keywords

References

  1. 김응수, 신동선, 양은주, 조덕연, 이유정, "다양한 정신상태에 의한 뇌파 신호의 ICA 분석과 기능영역추정에 관한 연구", 한국정 보통신연구진흥원, 2002
  2. 황민철, 고상태, 김규태, 정병용, "뇌 컴퓨터 인터페이스를 위한 뇌파와 동작 인지와의 동기화에 관한 연구", 대한인간공학회지, 26(2), 2007 https://doi.org/10.5143/JESK.2007.26.2.167
  3. American Electroenceohalpgraphic Society, Guideline Thirteen: Guidelines for standard electrode position nomenclature, J. Clin. Neurophysiol., 11, 111-113, 1994 https://doi.org/10.1097/00004691-199401000-00014
  4. Baker, S. N., Olivier, E. and Lemon, R. N., Coherence osillations in monkey motor cortex and hand muscle EMG show task dependent modulation, J. Physiol., 501, 225-241, 1997 https://doi.org/10.1111/j.1469-7793.1997.225bo.x
  5. Bortel, R. and Sovka, P., EEG-EMG coherence enhancement. Signal Processing, 86, 1737-1751, 2006 https://doi.org/10.1016/j.sigpro.2005.09.011
  6. Conway, B. A., Halliday, D. M., Farmer, S. F., Shahani, U., Maas, P., Weir, A. I. and Rosenberg, J. R., Synchronization between motor cortex and spinal motoneuronal pool during the performance of a maintained motor task in man, J. Physiol., 489, 917-924, 1995 https://doi.org/10.1113/jphysiol.1995.sp021104
  7. Grosse, P., Cassidy, M. J. and Brown, P., EEG-EMG, MEG-EMG and EMG-EMG frequency analysis: physiological principles and clinical application, Clin Neurophysiol., 113, 1523-1531, 2002 https://doi.org/10.1016/S1388-2457(02)00223-7
  8. Halliday, D. M., Conway, B. A., Farmer, S. F. and Rosenburg, J. R., Using electroencephalograpy to study functional coupling between cortical activity and electromyograms during voluntary contractions in humans, Neuroscience Letter, 241, 5-8, 1998 https://doi.org/10.1016/S0304-3940(97)00964-6
  9. Jung T. P., Makeig, S., McKeown, M. J., Bell, A. J., Lee, T. W., and Sejnowski T. J., Imaging Brain Dynamics Using Independent Component Analysis, Proceedings of the IEEE, 89(7), 1107-1122, 2001
  10. Mima, T., Toma, K., Koshy, B. and Hallertt, M., "Coherence Between Cortical and Muscular Activities After Subcortical Stroke", Stroke, 32, 2597-2601, 2001 https://doi.org/10.1161/hs1101.098764
  11. Neidermeyer, E., The normal EEG of the waking adult. In: Neidermeyer E, Lopes da Silva F, eds. Electroencephalography: Basic principles, Clinical Applications and Related Fields, 4nd ed., Williams and Wilkins, Philadelphia, PA, 149-173, 1999
  12. Pfurtscheller, G. R., Neupera, C., Flotzingera, D., Pregenzerb, M., EEGbased discrimination between imagination of right and left hand movement, Electroencephalography and Clinical Neurophysiology, 103(6), 642-651, 1997 https://doi.org/10.1016/S0013-4694(97)00080-1
  13. Rosenberg, J., Amjad, A., Breeze, P., Brillinger, D. Halliday, D., The Fourier approach to the identification of functional coupling between neuronal spike trains, Prog. Biophys. Mol. Biol., 53, 1-31, 1989 https://doi.org/10.1016/0079-6107(89)90004-7
  14. Salenius, S., Salmelin, R., E.A.C. Neuper, Human cortical 40-Hz rhythm is closely related to EMG rhythmicity, Neurosci. Lett, 21, 75-78, 1996
  15. Wolpaw, J. R., McFarland, D. J., Neat, G. W. and Forneris, C. A., An EEG-based brain-computer interface for cursor control, Electroencephalogr Clin Neurophysiol,78, 252-259, 1991 https://doi.org/10.1016/0013-4694(91)90040-B
  16. Wolpaw, J. R. and McFarland, D. J., Multichannel EEG-based braincomputer communication, Electroencephalogr Clin Neurophysiol, 90(6), 444-449, 1994 https://doi.org/10.1016/0013-4694(94)90135-X
  17. Wolpaw, J. R., McFarland, D. J. and Vaughan, T. M., Brain-computer interface research at the Wadsworth Center. IEEE Tran Rehabil Eng., 8, 222-225, 2000 https://doi.org/10.1109/86.847823
  18. Xue, Z., Li, J., Li, S. and Wan, B., Using ICA to Remove Eye Blink and Power Line Artifacts in EEG, Proceedings of the First international Conference on Innovative Computing, Information and Control, 2006
  19. Yao, B., Salenius, S., Yue, G. H., Brown R. W. and Liu J. Z., Effects of surface EMG rectification on power and coherence analyses: An EEG and MEG study, Journal of Neuroscience Methods, 159(2), 215 -223, 2007 https://doi.org/10.1016/j.jneumeth.2006.07.008