A New Type of Bionics Based Piezoelectric Heartbeat Sensor Used in Pulse-Taking for Health Warning

Meining Ji; Xiaofeng Meng; Jing Nie; Yaqin Wang; Liwei Lin

doi:10.1109/ICSENS.2018.8589641

A New Type of Bionics Based Piezoelectric Heartbeat Sensor Used in Pulse-Taking for Health Warning

Meining Ji
, Xiaofeng Meng
, Jing Nie
, Yaqin Wang
, Liwei Lin

Beihang University
University of California at Berkeley
Luoyang Dongfang Hospital

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

5 Scopus citations

Abstract

This work demonstrates a novel bionics-based heartbeat sensor combined with approximate entropy (ApEn) algorithm for health warning. The design of the proposed sensor was inspired by pulse-taking therapy in traditional Chinese medicine (TCM). A flexible piezoelectric film was adhered to a wooden cylinder to simulate the structure of the finger to achieve pulse-taking. The simulation of piezoelectric film under different force area and bending degree was realized by ANSYS. The results showed that the sensor structure proposed in this paper can not only simulate the characteristics of the finger to achieve the TCM pulse-taking, but also improve the sensitivity of piezoelectric film. The sensor was used to measure the pulse signal of human under different states of motion and different health conditions. Then the sample data were analyzed using the ApEn. The results showed that the ApEn value is 0.1 can be used as a threshold for judging and predicting human health status. The experiment proved that this method can avoid the requirement of the same force in the traditional pulse-taking. It not only can obtain the low distortion pulse signal, but also can obtain the heart rate accurately. Using this method can quickly achieve rapid detection and early warning of human health.

Original language	English
Title of host publication	2018 IEEE SENSORS, SENSORS 2018 - Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538647073
DOIs	https://doi.org/10.1109/ICSENS.2018.8589641
State	Published - 26 Dec 2018
Externally published	Yes
Event	17th IEEE SENSORS Conference, SENSORS 2018 - New Delhi, India Duration: 28 Oct 2018 → 31 Oct 2018

Publication series

Name	Proceedings of IEEE Sensors
Volume	2018-October
ISSN (Print)	1930-0395
ISSN (Electronic)	2168-9229

Conference

Conference	17th IEEE SENSORS Conference, SENSORS 2018
Country/Territory	India
City	New Delhi
Period	28/10/18 → 31/10/18

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

approximate entropy
heartbeat
piezoelectric sensor
pulse
traditional Chinese medicine

Access to Document

10.1109/ICSENS.2018.8589641

Cite this

Ji, M., Meng, X., Nie, J., Wang, Y., & Lin, L. (2018). A New Type of Bionics Based Piezoelectric Heartbeat Sensor Used in Pulse-Taking for Health Warning. In 2018 IEEE SENSORS, SENSORS 2018 - Conference Proceedings Article 8589641 (Proceedings of IEEE Sensors; Vol. 2018-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSENS.2018.8589641

@inproceedings{52512a395236414ab4abaef0153c1cfd,

title = "A New Type of Bionics Based Piezoelectric Heartbeat Sensor Used in Pulse-Taking for Health Warning",

abstract = "This work demonstrates a novel bionics-based heartbeat sensor combined with approximate entropy (ApEn) algorithm for health warning. The design of the proposed sensor was inspired by pulse-taking therapy in traditional Chinese medicine (TCM). A flexible piezoelectric film was adhered to a wooden cylinder to simulate the structure of the finger to achieve pulse-taking. The simulation of piezoelectric film under different force area and bending degree was realized by ANSYS. The results showed that the sensor structure proposed in this paper can not only simulate the characteristics of the finger to achieve the TCM pulse-taking, but also improve the sensitivity of piezoelectric film. The sensor was used to measure the pulse signal of human under different states of motion and different health conditions. Then the sample data were analyzed using the ApEn. The results showed that the ApEn value is 0.1 can be used as a threshold for judging and predicting human health status. The experiment proved that this method can avoid the requirement of the same force in the traditional pulse-taking. It not only can obtain the low distortion pulse signal, but also can obtain the heart rate accurately. Using this method can quickly achieve rapid detection and early warning of human health.",

keywords = "approximate entropy, heartbeat, piezoelectric sensor, pulse, traditional Chinese medicine",

author = "Meining Ji and Xiaofeng Meng and Jing Nie and Yaqin Wang and Liwei Lin",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 17th IEEE SENSORS Conference, SENSORS 2018 ; Conference date: 28-10-2018 Through 31-10-2018",

year = "2018",

month = dec,

day = "26",

doi = "10.1109/ICSENS.2018.8589641",

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Ji, M, Meng, X, Nie, J, Wang, Y & Lin, L 2018, A New Type of Bionics Based Piezoelectric Heartbeat Sensor Used in Pulse-Taking for Health Warning. in 2018 IEEE SENSORS, SENSORS 2018 - Conference Proceedings., 8589641, Proceedings of IEEE Sensors, vol. 2018-October, Institute of Electrical and Electronics Engineers Inc., 17th IEEE SENSORS Conference, SENSORS 2018, New Delhi, India, 28/10/18. https://doi.org/10.1109/ICSENS.2018.8589641

A New Type of Bionics Based Piezoelectric Heartbeat Sensor Used in Pulse-Taking for Health Warning. / Ji, Meining; Meng, Xiaofeng; Nie, Jing et al.
2018 IEEE SENSORS, SENSORS 2018 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 8589641 (Proceedings of IEEE Sensors; Vol. 2018-October).

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

TY - GEN

T1 - A New Type of Bionics Based Piezoelectric Heartbeat Sensor Used in Pulse-Taking for Health Warning

AU - Ji, Meining

AU - Meng, Xiaofeng

AU - Nie, Jing

AU - Wang, Yaqin

AU - Lin, Liwei

PY - 2018/12/26

Y1 - 2018/12/26

N2 - This work demonstrates a novel bionics-based heartbeat sensor combined with approximate entropy (ApEn) algorithm for health warning. The design of the proposed sensor was inspired by pulse-taking therapy in traditional Chinese medicine (TCM). A flexible piezoelectric film was adhered to a wooden cylinder to simulate the structure of the finger to achieve pulse-taking. The simulation of piezoelectric film under different force area and bending degree was realized by ANSYS. The results showed that the sensor structure proposed in this paper can not only simulate the characteristics of the finger to achieve the TCM pulse-taking, but also improve the sensitivity of piezoelectric film. The sensor was used to measure the pulse signal of human under different states of motion and different health conditions. Then the sample data were analyzed using the ApEn. The results showed that the ApEn value is 0.1 can be used as a threshold for judging and predicting human health status. The experiment proved that this method can avoid the requirement of the same force in the traditional pulse-taking. It not only can obtain the low distortion pulse signal, but also can obtain the heart rate accurately. Using this method can quickly achieve rapid detection and early warning of human health.

AB - This work demonstrates a novel bionics-based heartbeat sensor combined with approximate entropy (ApEn) algorithm for health warning. The design of the proposed sensor was inspired by pulse-taking therapy in traditional Chinese medicine (TCM). A flexible piezoelectric film was adhered to a wooden cylinder to simulate the structure of the finger to achieve pulse-taking. The simulation of piezoelectric film under different force area and bending degree was realized by ANSYS. The results showed that the sensor structure proposed in this paper can not only simulate the characteristics of the finger to achieve the TCM pulse-taking, but also improve the sensitivity of piezoelectric film. The sensor was used to measure the pulse signal of human under different states of motion and different health conditions. Then the sample data were analyzed using the ApEn. The results showed that the ApEn value is 0.1 can be used as a threshold for judging and predicting human health status. The experiment proved that this method can avoid the requirement of the same force in the traditional pulse-taking. It not only can obtain the low distortion pulse signal, but also can obtain the heart rate accurately. Using this method can quickly achieve rapid detection and early warning of human health.

KW - approximate entropy

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KW - piezoelectric sensor

KW - pulse

KW - traditional Chinese medicine

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PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 28 October 2018 through 31 October 2018

ER -

A New Type of Bionics Based Piezoelectric Heartbeat Sensor Used in Pulse-Taking for Health Warning

Abstract

Publication series

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UN SDGs

Keywords

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