EEG data compression using subband coding techniques

대역 분할 부호화 기법을 이용한 EEG 데이타 압축

  • 이종욱 (연세대학교 전기공학과) ;
  • 허재만 (연세대학교 전기공학과) ;
  • 김택수 (연세대학교 전기공학과) ;
  • 박상희 (연세대학교 전기공학과)
  • Published : 1993.11.26

Abstract

A EEG(ElectroEncephaloGram) compression scheme based on subband coding techniques is presented in this paper. Considering the frequency characteristics of EEG, the raw signal was decomposed into different frequency bands. After decomposition, optimal bit allocation was done by adapting to the standard deviation in each frequency bands, and decomposed signals were quantized using pdf(probability density function)-optimized nonuniform quantizer. Based on the above mentioned coding scheme, coding results of various multichannel EEG signal were shown with compression ratio and SNR(signal-to-noise ratio).

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