Automatic stage scoring of single-channel sleep EEG based on multiscale permutation entropy

Chih En Kuo, Sheng Fu Liang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Citations (Scopus)

Abstract

Multiscale entropy is a recently developed method to estimate complexity associated with the long-range temporal correlation of a time series. Since sleep EEG patterns also change regularly from light to deep sleep states, we firstly applied multiscale permutation entropy (MPE) to analysis sleep EEG to investigate the relations between changes of sleep stages and the MPE values. It was observed that correlation coefficient between the averaged MPE values of sleep EEG and the manual scoring of sleep stages can reach over 0.7. Then a MPE-based sleep scoring method for single channel EEG was developed. After training based on the data from 10 subjects, the overall sensitivity of the proposed automatic sleep scoring method combining MPE, autoregressive models, and linear discriminant analysis can reach 89.1% evaluated by the data of the other 10 subjects. Due to high accuracy and requiring only single-channel EEG, the proposed method has good applicability for sleep monitoring and home cares.

Original languageEnglish
Title of host publication2011 IEEE Biomedical Circuits and Systems Conference, BioCAS 2011
Pages448-451
Number of pages4
DOIs
Publication statusPublished - 2011 Dec 1
Event2011 IEEE Biomedical Circuits and Systems Conference, BioCAS 2011 - San Diego, CA, United States
Duration: 2011 Nov 102011 Nov 12

Publication series

Name2011 IEEE Biomedical Circuits and Systems Conference, BioCAS 2011

Other

Other2011 IEEE Biomedical Circuits and Systems Conference, BioCAS 2011
CountryUnited States
CitySan Diego, CA
Period11-11-1011-11-12

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Biomedical Engineering
  • Electrical and Electronic Engineering

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