Proposition of the EEG Electrode Arrangement at a Frontal Lobe and Rejection of Noise Using a JADE

전두엽 뇌전도 전극 배치의 제안 및 JADE를 이용한 잡음제거

  • 박정제 (경북대학교 대학원 의용생체공학과) ;
  • 이윤정 (경북대학교 대학원 의용생체공학) ;
  • 김필운 (경북대학교 대학원 의용생체공학) ;
  • 구성모 (두원공과대학교 정보통신ㆍ미디어계) ;
  • 조진호 (경북대학교 전자전기컴퓨터학) ;
  • 김명남 (경북대학교 의과대학 의공학교실)
  • Published : 2004.06.01

Abstract

In this paper, it is proposed that the four channel electrode arrangement at a frontal lobe and the noise reduction method using a JADE for the EEG biofeedback system. The proposed electrode arrangement is based on the retina-cornea dipole model. Using JADE and signals which are acquired by the proposed arrangement, four independent components are separated. To estimate a pure EEG component among four components, it is measured that a ratio of alpha wave to the whole signal and then the component that has a maximum value is considered as a pure EEG which the noise is eliminated. As a result of experiments, the proposed methods are effective in reduction of noises during acquisition of the EEG.

본 논문에서는 뇌전도 바이오피드백 시스템을 위한 4채널 전두엽 전극 배치 및 JADE를 사용한 잡음 제거 방법을 제안하였다. 망막-각막 쌍극자 모델을 기반하여 4채널 전두엽 전극 배치를 제안하였으며, 이 배치에 의해서 얻은 신호에 대해서 JADE를 적용하여 4개의 독립 성분을 획득하였다. 각 독립 성분들 중에서 순수 뇌전도 성분을 추정하기 위해서 전체 신호에 대한 알파파비를 측정하여 그 값이 가장 큰 독립 성분을 잡음이 제거된 순수한 뇌전도로 추정하였다. 그 실험 결과 제안한 방법이 뇌전도 획득 과정에서 효과적으로 잡음을 제거함을 확인하였다.

Keywords

References

  1. Medical Care Processings of the Second Annual Symposium Micro-computer in biofeedback J. James
  2. Engineering in Medicine and Biology Society, Proceedings of the Annual International Conference of the IEEE v.2 Biofeedback system with interchangeable modules for applied research and clinical practice using microcomputer interface A. Zapata-Ferrer;A. Danglada;J. Moncada;M. Aguillon
  3. Engineering in Medicine and Biology Society, Proceedings of the Annual International Conference of the IEEE v.3 Development of EEG biofeedback system and research of the biofeedback in the alpha frequency band Z. Zhang;W. Chen
  4. Electroencephalog. clin. Neurophysiolog. v.28 Eye-movement artifact in the CNW S.A. Hillyard;R. Galambos https://doi.org/10.1016/0013-4694(70)90185-9
  5. Psychoph. v.19 no.4 Correction of EOG artifacts in event related potentials of EEG: Aspects of reliability and validity R. Verleger;T. Gasser;J. Mocks https://doi.org/10.1111/j.1469-8986.1982.tb02509.x
  6. Electroencephalog. clin. Neurophsyolog. v.44 Spectral method for removing eye-movement artifacts from the EEG J.L. Writton;F. Lue;H.A. Moldofsky https://doi.org/10.1016/0013-4694(78)90208-0
  7. Biological Psychology v.16 The removal of the eye movement artifact from the EEG by regression analysis in the frequency domain J.C. Woestenburg;M.N. Verbaten;J.L. Slangen https://doi.org/10.1016/0301-0511(83)90059-5
  8. IEEE Trans. Biomed. Eng. v.26 Computerized clinical electroencephalography in perspective J.S. Barlow https://doi.org/10.1109/TBME.1979.326416
  9. Electroenceph. clin. Neurophysiol. v.90 A multiple source approach to the correction of eye artifacts P. Berg;M. Scherg https://doi.org/10.1016/0013-4694(94)90094-9
  10. J. Clin. Neurophysiology v.14 Spatial filtering of multichannel electroencephalographic recordings through principal component analysis by singular value decomposition T.D. Lagerlund;F.W. Sharbrough;N.E. Busacker https://doi.org/10.1097/00004691-199701000-00007
  11. Proceedings of the 1998 IEEE Signal Processing Society Workshop Removing Electroencephalographic Artifacts: Comparison between ICA and PCA T. Jung;C. Humphries;T. Lee;S. Makeig;M. McKeown;V. Iragui;T. Sejnowski
  12. 제24회 대한의용생체공학회 춘계학술대회 논문집 v.24 no.1 ICA를 이용한 전두엽에서 획득한 뇌파 신호에서의 EOG 제거 방법 제안 신수인;정주영;김명남;조진호
  13. The 2nd Int'l Workshop on Independent Component Analysis and Signal Separation Independent Component Analysis of Biomedical Signals T. Jung;S. Makeig;T. Lee;M. McKeown;G. Brown;A. Ell;T. Sejnowski
  14. Signal processing v.36 Independent Component Analysis, A new concept? P. Comon https://doi.org/10.1016/0165-1684(94)90029-9
  15. IEEE Proceedings-F v.36 Blind beamforming for non Gaussian signals J.F. Cardoso;A. Souloumiac
  16. Science, Measurement and Technology, IEE Proceedings v.147 Quantitative evaluation of techniques for ocular artefact filtering of EEG waveforms L. Vigon;M.R. Saatchi;J. Mayhew;R. Fernandes https://doi.org/10.1049/ip-smt:20000475