Development of sleep-wake estimation algorithm using the wrist acceleration sensor

Yutaka Yoshida, Akira Kurata, Emi Yuda, Junichiro Hayano

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

Abstract

We developed the algorithm to estimate sleep-wake during sleep period using a 3-axis acceleration wrist sensor for the purpose of self-management of sleep status in everyday life. The 3-axis acceleration data were transformed into combined acceleration time series, from which sleep-wake was estimated. The algorithm discriminated sleep from waking time with 91.8[87.4-95.3]% sensitivity and 55.5[40.2-72.5]% specificity. It estimated sleep efficiency with a correlation coefficient of 0.52(p<0.01, n=228) with that determined by polysomnography.

Original languageEnglish
Title of host publication2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-2
Number of pages2
ISBN (Electronic)9781509040452
DOIs
Publication statusPublished - 2017 Dec 19
Externally publishedYes
Event6th IEEE Global Conference on Consumer Electronics, GCCE 2017 - Nagoya, Japan
Duration: 2017 Oct 242017 Oct 27

Publication series

Name2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017
Volume2017-January

Other

Other6th IEEE Global Conference on Consumer Electronics, GCCE 2017
CountryJapan
CityNagoya
Period17/10/2417/10/27

Keywords

  • 3-axis acceleration sensor
  • sleep-wake estimation

ASJC Scopus subject areas

  • Media Technology
  • Instrumentation
  • Electrical and Electronic Engineering

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