Human sleep electroencephalogram analysis based on the Instantaneous Maximum Entropy Method

Sunao Uchida, Yumi Takizawa, Nobuhide Hirai, Makio Ishiguro

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Analysis of electroencephalogram (EEG) is presented for sleep physiology. This analysis is performed by the Instantaneous Maximum Entropy Method (IMEM), which was given by the author. Appearance and continuation of featuristic waves are not steady in EEG. The characteristics of these waves responding to epoch of sleep are analyzed. The behaviours of waves were clarified by this analysis as follows; (a) time dependent frequency of continuous oscillations of alpha rhythm was observed precisely. Sleep spindles were detected clearly within NREM and these parameters of time, frequency, and peak energy were specified, (b) delta waves with very low frequencies and sleep spindles were observed simultaneously. And (c) 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, etc.

Original languageEnglish
Pages (from-to)965-970
Number of pages6
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE80-A
Issue number6
Publication statusPublished - 1997
Externally publishedYes

Keywords

  • Electroencephalogram (EEG)
  • Instantaneous maximum entropy method
  • NREM
  • REM
  • Sleep physiology

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Hardware and Architecture
  • Information Systems

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