Study on body area network of smart clothing for physiological monitoring. (February 2022)
- Record Type:
- Journal Article
- Title:
- Study on body area network of smart clothing for physiological monitoring. (February 2022)
- Main Title:
- Study on body area network of smart clothing for physiological monitoring
- Authors:
- Lei, Shen
Xiangfang, Ren
Jianbin, Wu
Han, Chen
Jianyong, Ouyang - Abstract:
- 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 ofWith 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. … (more)
- Is Part Of:
- International journal of distributed sensor networks. Volume 18:Number 2(2022)
- Journal:
- International journal of distributed sensor networks
- Issue:
- Volume 18:Number 2(2022)
- Issue Display:
- Volume 18, Issue 2 (2022)
- Year:
- 2022
- Volume:
- 18
- Issue:
- 2
- Issue Sort Value:
- 2022-0018-0002-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-02
- Subjects:
- Physiological care -- smart clothing -- body domain network
Sensor networks -- Periodicals
Intelligent agents (Computer software) -- Periodicals
Multisensor data fusion -- Periodicals
681.2 - Journal URLs:
- http://www.informaworld.com/smpp/title~content=t714578688~db=all ↗
http://www.metapress.com/openurl.asp?genre=journal&issn=1550-1329 ↗
http://dsn.sagepub.com/ ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1177/15501477211061251 ↗
- Languages:
- English
- ISSNs:
- 1550-1329
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.186400
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 19275.xml