Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지

Real-time Detection of spindle Waveforms Based on the Local Spectrum of EEG

국부스펙트럼에 근거한 뇌파 스핀들 파형의 실시간 감지에 관한 연구

  • Shim, Shin-H. (Depart. of Electrical Engineering, Chung-Ang University) ;
  • Chang, Tae-G. (Depart. of Control and Instrumentation Engineering, Chong-Ang University) ;
  • Yang, Won-Y. (Depart. of Electrical Engineering, Chung-Ang University)
  • 심신호 (중앙대학교 공과대학 전기공학과) ;
  • 장태규 (중앙대학교 공과대학 제어계측공학과) ;
  • 양원영 (중앙대학교 공과대학 전기공학과)
  • Published : 1993.07.18
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Abstract

A new method of EEG spindle waveform detection i s presented. The method combines the signal conditioning in the time-domin and the analysis of local spectrum in the frequency-domain. Fast computation methods, utilizing some effective approximations, are also suggested for the desist and implementation of the filter as well as for the computation of the local spectrum. The presented approach is especially useful for the real-time implementation of the waveform detection system under a general purpose microcomputer environment. The overall detection system is implemented and tested on-line with the total 24 hour data of selected four subjects. The result show the average agreement of 86.7% with the visually inspected result.

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