Sleep stage classification by combination of actigraphic and heart rate signals

Junichiro Hayano, Emi Yuda, Yutaka Yoshida

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

1 Citation (Scopus)

Abstract

This paper presents the performance of sleep stage classification by combination of actigraphic and heart rate signals. We studied 40,643 epochs (length 3 min) of polysomnographic data in 289 subjects. Body movement indices derived from actigraphic data and autonomic functional indices from heart rate variability were useful for discriminating between non-REM sleep and waking/REM sleep at 76.9% sensitivity and 74.5% specificity and between REM sleep and waking at 77.2% sensitivity and 72.3% specificity.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages387-388
Number of pages2
ISBN (Electronic)9781509040179
DOIs
Publication statusPublished - 2017 Jul 25
Externally publishedYes
Event4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017 - Taipei, United States
Duration: 2017 Jun 122017 Jun 14

Publication series

Name2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017

Other

Other4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
CountryUnited States
CityTaipei
Period17/6/1217/6/14

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Signal Processing
  • Biomedical Engineering
  • Instrumentation
  • Electrical and Electronic Engineering

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