Sleep Stage Estimation by Applying DFA for Electrocardiogram

DOI
  • Matsumoto Hirotaka
    The Graduate School of Science and Engineering, Ritsumeikan University, Kyoto, Japan
  • Okada Shima
    The College of Science and Engineering, Ritsumeikan University, Kyoto, Japan
  • Shiozawa Naruhiro
    The College of Faculty of Sports and Health Science, Ritsumeikan University, Kyoto, Japan
  • Makikawa Masaaki
    The College of Science and Engineering, Ritsumeikan University, Kyoto, Japan

Bibliographic Information

Other Title
  • 心電図にDFA解析を適応した睡眠深度推定

Abstract

<p>Judgment of sleep stage is not easy because it requires measurement of multiple biological signals and expert knowledge. The purpose of this study was estimating the sleep stage using an Electrocardiogram (ECG) that can be easily measured. In this study, we investigated whether Detrended Fluctuation Analysis (DFA) was effective as a parameter for estimating sleep stage. We applied the result of DFA as a parameter for estimation. In addition to the results of the DFA, sleep stage was estimated using a low-pass filter, the trend direction and a decision-tree. As the result, 63.7% accuracy was achieved. In this time, in order to verify whether DFA is an effective parameter for estimating sleep stage, sleep stage was estimated using only the results of DFA. In the future, we aim to further improve the accuracy by combining with various parameters.</p>

Journal

Details 詳細情報について

  • CRID
    1390003825204183808
  • NII Article ID
    130007884925
  • DOI
    10.11239/jsmbe.annual58.301
  • ISSN
    18814379
    1347443X
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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