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...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | International Journal of Telemedicine and Applications |
| Online Access: | http://dx.doi.org/10.1155/2020/6329360 |
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| author | Ming Li Wei Xiong Yongjian Li |
| author_facet | Ming Li Wei Xiong Yongjian Li |
| author_sort | Ming Li |
| collection | DOAJ |
| 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 | Article |
| id | doaj-art-cbcd2f74c3c044639a6e426e4deaafa8 |
| institution | Kabale University |
| issn | 1687-6415 1687-6423 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Telemedicine and Applications |
| spelling | doaj-art-cbcd2f74c3c044639a6e426e4deaafa82025-02-03T05:52:29ZengWileyInternational Journal of Telemedicine and Applications1687-64151687-64232020-01-01202010.1155/2020/63293606329360Wearable Measurement of ECG Signals Based on Smart ClothingMing Li0Wei Xiong1Yongjian Li2Engineering Research Center of Hubei Province for Clothing Information, Wuhan Textile University, Wuhan 430200, ChinaEngineering Research Center of Hubei Province for Clothing Information, Wuhan Textile University, Wuhan 430200, ChinaClass 1112, Maple Leaf International School-Wuhan, Wuhan 410077, ChinaSmart 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.http://dx.doi.org/10.1155/2020/6329360 |
| spellingShingle | Ming Li Wei Xiong Yongjian Li Wearable Measurement of ECG Signals Based on Smart Clothing International Journal of Telemedicine and Applications |
| 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 |
| url | http://dx.doi.org/10.1155/2020/6329360 |
| work_keys_str_mv | AT mingli wearablemeasurementofecgsignalsbasedonsmartclothing AT weixiong wearablemeasurementofecgsignalsbasedonsmartclothing AT yongjianli wearablemeasurementofecgsignalsbasedonsmartclothing |