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Wearable Measurement of ECG Signals Based on Smart Clothing
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 conventi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7201832/ https://www.ncbi.nlm.nih.gov/pubmed/32395127 http://dx.doi.org/10.1155/2020/6329360 |
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author | Li, Ming Xiong, Wei Li, Yongjian |
author_facet | Li, Ming Xiong, Wei Li, Yongjian |
author_sort | Li, Ming |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7201832 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-72018322020-05-11 Wearable Measurement of ECG Signals Based on Smart Clothing Li, Ming Xiong, Wei Li, Yongjian Int J Telemed Appl Research Article 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. Hindawi 2020-01-18 /pmc/articles/PMC7201832/ /pubmed/32395127 http://dx.doi.org/10.1155/2020/6329360 Text en Copyright © 2020 Ming Li et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Li, Ming Xiong, Wei Li, Yongjian Wearable Measurement of ECG Signals Based on Smart Clothing |
title | Wearable Measurement of ECG Signals Based on Smart Clothing |
title_full | Wearable Measurement of ECG Signals Based on Smart Clothing |
title_fullStr | Wearable Measurement of ECG Signals Based on Smart Clothing |
title_full_unstemmed | Wearable Measurement of ECG Signals Based on Smart Clothing |
title_short | Wearable Measurement of ECG Signals Based on Smart Clothing |
title_sort | wearable measurement of ecg signals based on smart clothing |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7201832/ https://www.ncbi.nlm.nih.gov/pubmed/32395127 http://dx.doi.org/10.1155/2020/6329360 |
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