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

doi:10.1109/EMBC.2018.8513291

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: 書籍/レポートタイプへの寄稿 › 会議への寄与

6 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	英語
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	https://doi.org/10.1109/EMBC.2018.8513291
出版ステータス	出版済み - 26-10-2018
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, 米国継続期間: 18-07-2018 → 21-07-2018

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
巻	2018-July
ISSN（印刷版）	1557-170X

会議

会議	40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
国/地域	米国
City	Honolulu
Period	18-07-18 → 21-07-18

UN SDG

この成果は、次の持続可能な開発目標に貢献しています

SDG 3 すべての人に健康と福祉を

All Science Journal Classification (ASJC) codes

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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10.1109/EMBC.2018.8513291

他のファイルとリンク

引用スタイル

Hagiyama, N., Mito, A., Hirano, H., Soh, Z., Fujita, E., Ogura, Y., Uchikawa, R., Kaneko, S., Nakamura, R., Saeki, N., Kawamoto, M., Yoshizumi, M., & Tsuji, T. (2018). Unconstrained Monitoring of Biological Signals Using an Aortic Pulse Wave Sensor. In 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 (pp. 4327-4330). 記事 8513291 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2018-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2018.8513291

Hagiyama, Naoki ; Mito, Akihisa ; Hirano, Harutoyo その他. / Unconstrained Monitoring of Biological Signals Using an Aortic Pulse Wave Sensor. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 4327-4330 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

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title = "Unconstrained Monitoring of Biological Signals Using an Aortic Pulse Wave Sensor",

abstract = "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.",

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

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doi = "10.1109/EMBC.2018.8513291",

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Hagiyama, N, Mito, A, Hirano, H, Soh, Z, Fujita, E, Ogura, Y, Uchikawa, R, Kaneko, S, Nakamura, R, Saeki, N, Kawamoto, M, Yoshizumi, M & Tsuji, T 2018, Unconstrained Monitoring of Biological Signals Using an Aortic Pulse Wave Sensor. in 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018., 8513291, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, vol. 2018-July, Institute of Electrical and Electronics Engineers Inc., pp. 4327-4330, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018, Honolulu, 米国, 18-07-18. https://doi.org/10.1109/EMBC.2018.8513291

Unconstrained Monitoring of Biological Signals Using an Aortic Pulse Wave Sensor. / Hagiyama, Naoki; Mito, Akihisa; Hirano, Harutoyo その他.
40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 4327-4330 8513291 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2018-July).

研究成果: 書籍/レポートタイプへの寄稿 › 会議への寄与

TY - GEN

T1 - Unconstrained Monitoring of Biological Signals Using an Aortic Pulse Wave Sensor

AU - Hagiyama, Naoki

AU - Mito, Akihisa

AU - Hirano, Harutoyo

AU - Soh, Zu

AU - Fujita, Etsunori

AU - Ogura, Yumi

AU - Uchikawa, Ryuichi

AU - Kaneko, Shigehiko

AU - Nakamura, Ryuji

AU - Saeki, Noboru

AU - Kawamoto, Masashi

AU - Yoshizumi, Masao

AU - Tsuji, Toshio

PY - 2018/10/26

Y1 - 2018/10/26

N2 - 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.

AB - 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.

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DO - 10.1109/EMBC.2018.8513291

M3 - Conference contribution

C2 - 30441311

AN - SCOPUS:85056589664

T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

SP - 4327

EP - 4330

BT - 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018

Y2 - 18 July 2018 through 21 July 2018

ER -

Hagiyama N, Mito A, Hirano H, Soh Z, Fujita E, Ogura Y その他. Unconstrained Monitoring of Biological Signals Using an Aortic Pulse Wave Sensor. In 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 4327-4330. 8513291. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/EMBC.2018.8513291

Unconstrained Monitoring of Biological Signals Using an Aortic Pulse Wave Sensor

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出版物シリーズ

会議

UN SDG

All Science Journal Classification (ASJC) codes

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