Unconstrained Monitoring of Biological Signals Using an Aortic Pulse Wave Sensor

Naoki Hagiyama, Akihisa Mito, Harutoyo Hirano, Zu Soh, Etsunori Fujita, Yumi Ogura, Ryuichi Uchikawa, Shigehiko Kaneko, Ryuji Nakamura, Noboru Saeki, Masashi Kawamoto, Masao Yoshizumi, Toshio Tsuji

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

This paper proposes a system to extract biological signals from aortic pulse waves which are measured by a microphone type pulse wave sensor. Theproposed system enables extraction of three biological signals corresponding to respiratory rate, pulse pressure wave, and RR interval simply by sitting on the seat on which the sensor is laid. Experiment results demonstrated that the mean absolute errors between the signals measured by the proposed system and the conventional sensors are as low as 0.38 times per minute for the respiratory rate, 11.2 mmHg for the pulse pressure wave, and 16.6 ms for the RR interval. The proposed system thus may be applied to monitor the physiological state of a human subject to prevent accident caused by health condition.

本文言語English
ホスト出版物のタイトル40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ4327-4330
ページ数4
ISBN(電子版)9781538636466
DOI
出版ステータスPublished - 2018 10 26
外部発表はい
イベント40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Honolulu, United States
継続期間: 2018 7 182018 7 21

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
2018-July
ISSN(印刷版)1557-170X

Other

Other40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
国/地域United States
CityHonolulu
Period18/7/1818/7/21

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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