Non-contact Blood Pressure Estimation Method Based on Blood Pressure Category Classification

Shuzo Ishizaka, Kohei Yamamoto, Tomoaki Ohtsuki

研究成果: Conference contribution

抄録

In recent years, non-contact Blood Pressure (BP) measurement has been attracting attention for measuring our health status in daily life. A Doppler radar can observe pulse waves caused by chest wall displacement due to heartbeat. BP can be estimated by constructing a BP estimation model using BP-related features obtained from the pulse wave. However, compared to when modeling for each subject, the BP esti-mation accuracy deteriorates significantly when modeling with multiple subjects including the testing subject. To deal with this limitation, BP category classification has been introduced into PhotoPlethysmoGraphy (PPG)-based BP estimation. In this paper, we develop a Doppler radar-based BP estimation method based on BP category classification. In the proposed method, the pulse waves extracted from a Doppler radar are classified into three categories, 'Low BP', 'Normal BP', and 'High BP' by k-Nearest Neighbor (kNN) based on the features that correlate with BP. The SBP estimation model is trained for each BP category. After the BP category classification, SBP is then estimated by using the model corresponding to the classified BP category. The experimental results showed that the proposed method with BP category classification estimated SBP accurately, compared to without BP category classification.

本文言語English
ホスト出版物のタイトル44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
出版社Institute of Electrical and Electronics Engineers Inc.
ページ2676-2679
ページ数4
ISBN(電子版)9781728127828
DOI
出版ステータスPublished - 2022
イベント44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 - Glasgow, United Kingdom
継続期間: 2022 7月 112022 7月 15

出版物シリーズ

名前Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
2022-July
ISSN(印刷版)1557-170X

Conference

Conference44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
国/地域United Kingdom
CityGlasgow
Period22/7/1122/7/15

ASJC Scopus subject areas

  • 信号処理
  • 生体医工学
  • コンピュータ ビジョンおよびパターン認識
  • 健康情報学

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