Wearable Measurement of ECG Signals Based on Smart Clothing
Joint Authors
Li, Ming
Xiong, Wei
Li, Yongjian
Source
International Journal of Telemedicine and Applications
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-18
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Smart clothing that can measure electrocardiogram (ECG) signals and monitor the health status of people meets the needs of our increasingly aging society.
However, the conventional measurement of ECG signals is complicated and its electrodes can cause irritation to the skin, which makes the conventional measurement method unsuitable for applications in smart clothing.
In this paper, a novel wearable measurement of ECG signals is proposed.
There are only three ECG textile electrodes knitted into the fabric of smart clothing.
The acquired ECG signals can be transmitted to a smartphone via Bluetooth, and they can also be sent out to a PC terminal by a smartphone via WiFi or Internet.
To get more significant ECG signals, the ECG differential signal between two electrodes is calculated based on a spherical volume conductor model, and the best positions on the surface of a human body for two textile electrodes to measure ECG signals are simulated by using the body-surface potential mapping (BSPM) data.
The results show that position 12 in the lower right and position 11 in the upper left of the human body are the best for the two electrodes to measure ECG signals, and the presented wearable measurement can obtain good performance when one person is under the conditions of sleeping and jogging.
American Psychological Association (APA)
Li, Ming& Xiong, Wei& Li, Yongjian. 2020. Wearable Measurement of ECG Signals Based on Smart Clothing. International Journal of Telemedicine and Applications،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1174187
Modern Language Association (MLA)
Li, Ming…[et al.]. Wearable Measurement of ECG Signals Based on Smart Clothing. International Journal of Telemedicine and Applications No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1174187
American Medical Association (AMA)
Li, Ming& Xiong, Wei& Li, Yongjian. Wearable Measurement of ECG Signals Based on Smart Clothing. International Journal of Telemedicine and Applications. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1174187
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1174187