A Change Point Detection of EEG Signal Based on the Eigenspace

고유 공간을 이용한 EEG의 특성 변화점 검출

  • Kim, Ki-M. (Dept. of Medical Eng., College of Medicine, Yonsei Univ.) ;
  • Yoo, Sun-K. (Dept. of Medical Eng., College of Medicine, Yonsei Univ.) ;
  • Kim, Sun-H. (Dept. of Neurosurgery, College of Medicine, Yonsei Univ.) ;
  • Song, Jae-S. (Dept. of Medical Eng., College of Medicine, Yonsei Univ.) ;
  • Kim, Nam-H. (Dept. of Medical Eng., College of Medicine, Yonsei Univ.)
  • 김기만 (연세대학교 의과대학 의용공학교실) ;
  • 유선국 (연세대학교 의과대학 의용공학교실) ;
  • 김선호 (연세대학교 의과대학 신경외과학교실) ;
  • 송재성 (연세대학교 의과대학 의용공학교실) ;
  • 김남현 (연세대학교 의과대학 의용공학교실)
  • Published : 1995.11.17

Abstract

The electronencephalogram (EEG) is a complex electrical signal which reflects generalized brain activity. The EEG is utilized in the clinical assesment of many neurological and psychiatric disorders and offers promise for monitoring of patients undergoing operation. This paper describes a technique for quantitative analysis of EEG signals which is based on an eigenspace. Examples of the application approach to simulated and clinical EEG data illustrate the capabilities.

Keywords