Study on body area network of smart clothing for physiological monitoring
With the popularity of the concept of big health and the important role of wearable devices in medical health, users pay more attention to the collection and acquisition of physiological data, but wearable devices attached to human users are independent, and the degree of data sharing is low. Improv...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-02-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/15501477211061251 |
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| _version_ | 1849693695959367680 |
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| author | Shen Lei Ren Xiangfang Wu Jianbin Chen Han Ouyang Jianyong |
| author_facet | Shen Lei Ren Xiangfang Wu Jianbin Chen Han Ouyang Jianyong |
| author_sort | Shen Lei |
| collection | DOAJ |
| description | With the popularity of the concept of big health and the important role of wearable devices in medical health, users pay more attention to the collection and acquisition of physiological data, but wearable devices attached to human users are independent, and the degree of data sharing is low. Improving the data sharing, accuracy, and reliability of wearable device monitoring is a problem that the article needs to study and solve. Specifically, the researcher summarizes the characteristics of the physiological monitoring smart clothing, and the basic physiological data parameters of human body, and analyzes the collection of three basic signals of electrocardiogram, body temperature, and human movement. This article summarizes the requirements and key technologies of body area network transmission of smart clothing, and studies the body area network node design, energy consumption optimization mode, and network architecture of physiological monitoring smart clothing. At the same time, based on the previous research, the multi-interaction process of smart clothing is formed, and then the standard evaluation system of smart clothing body domain network for evaluation is proposed. The results show that the optimized structure of the body area network of smart clothing proposed by the researchers is efficient, convenient, and mobile, and meets the characteristics of safety, reliability, low power consumption, and portability of smart clothing, especially in the field of physiological monitoring. The standard evaluation system of smart clothing body area network provides a practice-oriented theoretical reference for the current research of smart clothing body area network. |
| format | Article |
| id | doaj-art-4f4a976c0e3047f9ab8653d9c55e8bf9 |
| institution | DOAJ |
| issn | 1550-1477 |
| language | English |
| publishDate | 2022-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-4f4a976c0e3047f9ab8653d9c55e8bf92025-08-20T03:20:19ZengWileyInternational Journal of Distributed Sensor Networks1550-14772022-02-011810.1177/15501477211061251Study on body area network of smart clothing for physiological monitoringShen Lei0Ren Xiangfang1Wu Jianbin2Chen Han3Ouyang Jianyong4School of Design, Jiangnan University, Wuxi, ChinaDepartment of Materials Science and Engineering, National University of Singapore, SingaporeSchool of Design, Jiangnan University, Wuxi, ChinaSchool of Design, Jiangnan University, Wuxi, ChinaDepartment of Materials Science and Engineering, National University of Singapore, SingaporeWith the popularity of the concept of big health and the important role of wearable devices in medical health, users pay more attention to the collection and acquisition of physiological data, but wearable devices attached to human users are independent, and the degree of data sharing is low. Improving the data sharing, accuracy, and reliability of wearable device monitoring is a problem that the article needs to study and solve. Specifically, the researcher summarizes the characteristics of the physiological monitoring smart clothing, and the basic physiological data parameters of human body, and analyzes the collection of three basic signals of electrocardiogram, body temperature, and human movement. This article summarizes the requirements and key technologies of body area network transmission of smart clothing, and studies the body area network node design, energy consumption optimization mode, and network architecture of physiological monitoring smart clothing. At the same time, based on the previous research, the multi-interaction process of smart clothing is formed, and then the standard evaluation system of smart clothing body domain network for evaluation is proposed. The results show that the optimized structure of the body area network of smart clothing proposed by the researchers is efficient, convenient, and mobile, and meets the characteristics of safety, reliability, low power consumption, and portability of smart clothing, especially in the field of physiological monitoring. The standard evaluation system of smart clothing body area network provides a practice-oriented theoretical reference for the current research of smart clothing body area network.https://doi.org/10.1177/15501477211061251 |
| spellingShingle | Shen Lei Ren Xiangfang Wu Jianbin Chen Han Ouyang Jianyong Study on body area network of smart clothing for physiological monitoring International Journal of Distributed Sensor Networks |
| title | Study on body area network of smart clothing for physiological monitoring |
| title_full | Study on body area network of smart clothing for physiological monitoring |
| title_fullStr | Study on body area network of smart clothing for physiological monitoring |
| title_full_unstemmed | Study on body area network of smart clothing for physiological monitoring |
| title_short | Study on body area network of smart clothing for physiological monitoring |
| title_sort | study on body area network of smart clothing for physiological monitoring |
| url | https://doi.org/10.1177/15501477211061251 |
| work_keys_str_mv | AT shenlei studyonbodyareanetworkofsmartclothingforphysiologicalmonitoring AT renxiangfang studyonbodyareanetworkofsmartclothingforphysiologicalmonitoring AT wujianbin studyonbodyareanetworkofsmartclothingforphysiologicalmonitoring AT chenhan studyonbodyareanetworkofsmartclothingforphysiologicalmonitoring AT ouyangjianyong studyonbodyareanetworkofsmartclothingforphysiologicalmonitoring |