Analysis of brain electroencephalograms with the instantaneous maximum entropy method

Yuvai Takizawa, Sunao Uchida, Makio Ishiguro, Atsushi Fukasawa

研究成果: Article査読

抄録

Analysis of electroencephalogram (EEG) is presented for sleep stages featured by sleep onset, light NREM (Non Rapid Eye Movement), deep NREM, and REM. Appearance and continuation of featuristic waves are not steady in EEG. The Instantaneous Maximum Entropy Method (IMEM) is proposed to analyze nonstationary waveform signals of EEG. The characteristics of these waves responding to epoch of sleep are analyzed. The results of analysis are given as follows; (a) time dependent frequency of continuous oscillations of alpha rhythm was observed precisely, (b) sleep spindles were detected clearly within NREM and these parameters of time, frequency, and peak energy were specified, (c) delta waves with very low frequencies and sleep spindles were observed simultaneously, and (d) the relationship of sleep spindles and delta waves was first detected with negative correlation along time-axis. The analysis by the IMEM was found effective comparing conventional analysis method of FFT, bandpass filter bank.

本文言語English
ジャーナルEuropean Signal Processing Conference
1998-January
出版ステータスPublished - 1998
外部発表はい

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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