Analysis of brain electroencephalograms with the instantaneous maximum entropy method

Yuvai Takizawa, Sunao Uchida, Makio Ishiguro, Atsushi Fukasawa

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
JournalEuropean Signal Processing Conference
Volume1998-January
Publication statusPublished - 1998
Externally publishedYes

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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