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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

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.

Original language	English
Title of host publication	40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4327-4330
Number of pages	4
ISBN (Electronic)	9781538636466
DOIs	https://doi.org/10.1109/EMBC.2018.8513291
Publication status	Published - 26-10-2018
Externally published	Yes
Event	40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Honolulu, United States Duration: 18-07-2018 → 21-07-2018

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume	2018-July
ISSN (Print)	1557-170X

Conference

Conference	40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
Country/Territory	United States
City	Honolulu
Period	18-07-18 → 21-07-18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

Access to Document

10.1109/EMBC.2018.8513291

Cite this

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). Article 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 et al. / 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).

@inproceedings{eaf02dfec0b5430f9cadd80c91ce6f3a,

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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year = "2018",

month = oct,

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doi = "10.1109/EMBC.2018.8513291",

language = "English",

series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",

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booktitle = "40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018",

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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, United States, 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 et al.
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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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

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

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 18 July 2018 through 21 July 2018

ER -

Hagiyama N, Mito A, Hirano H, Soh Z, Fujita E, Ogura Y et al. 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

Abstract

Publication series

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UN SDGs

All Science Journal Classification (ASJC) codes

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