A Study on Automatic State Estimation during Sleep by Comprehensive Image Analysis

DOI

Bibliographic Information

Other Title
  • 総合的画像解析による睡眠中の状態自動推定に関する研究
Published
2021
DOI
  • 10.11239/jsmbe.annual59.420
Publisher
Japanese Society for Medical and Biological Engineering

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Description

<p>According to a survey conducted by the Ministry of Health, Labor and Welfare, one in five Japanese people say that they do not get enough rest from sleep, and there is a growing need to ensure restful sleep based on objective evaluation of sleep status. Polysomnography is a method of measuring sleep state, but it is used for medical purposes and requires many sensors such as electroencephalogram, eye movement, etc., making it difficult to measure at home on a daily basis. In this study, we aimed to develop a method for unconstrained and reliable sleep stage estimation by integrating and analyzing video information from two viewpoints. We apply machine learning to the feature extraction results of thorax motion, body movement, and apnea from the horizontal viewpoint, and the feature extraction results of nasal skin temperature from the frontal viewpoint. We confirmed the effectiveness of the proposed method through evaluation experiments.</p>

Journal

Details 詳細情報について

  • CRID
    1390571240018123392
  • NII Article ID
    130008105423
  • DOI
    10.11239/jsmbe.annual59.420
  • ISSN
    18814379
    1347443X
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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