Features extraction for blood pressure estimation with photoplethysmography by autoencoder

DOI
  • SHIMAZAKI SHOTA
    Graduate School of Information Science and Technology, Aichi Prefectural University
  • KAWANAKA HARUKI
    Graduate School of Information Science and Technology, Aichi Prefectural University
  • OGURI KOJI
    Graduate School of Information Science and Technology, Aichi Prefectural University

Bibliographic Information

Other Title
  • 光電容積脈波からの血圧推定のためのオートエンコーダによる特徴抽出

Description

<p>Blood pressure estimation methods have been proposed on the basis of the physiological knowledge that the PPG changes depending on the state of the cardiovascular system. In previous studies, various features which are extracted the wave height and the elapsed time from the rising point of the pulse wave to feature points have been used to the machine learning for the BP estimation. However, the accuracy is still not adequate as medical equipment because their features cannot express fully information of the pulse waveform which changes according to the BP. And, no other effective knowledge about pulse waveform for BP estimation has been found yet. Therefore, in this study, we focus on the autoencoder which can extract complex features and add new features of the pulse wave form for the BP estimation. </p>

Journal

Details 詳細情報について

  • CRID
    1390564238023694208
  • NII Article ID
    130007483669
  • DOI
    10.11239/jsmbe.annual56.s143
  • ISSN
    18814379
    1347443X
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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