Smart Bracelet System for Temperature Monitoring and Movement Tracking Analysis.


Journal

Journal of healthcare engineering
ISSN: 2040-2309
Titre abrégé: J Healthc Eng
Pays: England
ID NLM: 101528166

Informations de publication

Date de publication:
2021
Historique:
received: 06 06 2021
revised: 06 07 2021
accepted: 13 07 2021
entrez: 2 8 2021
pubmed: 3 8 2021
medline: 9 3 2022
Statut: epublish

Résumé

In several epidemic diseases, one of the main symptoms exhibited by people is abnormal body temperature. Therefore, monitoring body temperature is crucial for preventing the spread of infectious diseases and facilitating timely responses. This study presents a wearable bracelet that can be used as a temperature monitoring and trajectory analysis system. The temperature sensor in the bracelet can effectively monitor the body temperature of the wearer in the target scene, and the data transmission between the bracelet and the data collector can effectively detect the movement range and trajectory of the wearer. Through these, the whole set can also detect the direct and indirect contact of the wearer in any period of time, which is very helpful for the prevention and control of infectious diseases and the isolation of potentially infected persons.

Identifiants

pubmed: 34336167
doi: 10.1155/2021/8347261
pmc: PMC8315845
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Retracted Publication

Langues

eng

Sous-ensembles de citation

IM

Pagination

8347261

Commentaires et corrections

Type : RetractionIn

Informations de copyright

Copyright © 2021 Bin Fang et al.

Déclaration de conflit d'intérêts

The authors declare that there are no conflicts of interest regarding the publication of this paper.

Références

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Auteurs

Bin Fang (B)

Beijing National Research Center for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing, China.

Fuchun Sun (F)

Beijing National Research Center for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing, China.

Zhou Quan (Z)

Anhui Province Key Laboratory of Special Heavy Load Robots, Anhui University of Technology, Ma'anshan, China.

Huaping Liu (H)

Beijing National Research Center for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing, China.

Jianhua Shan (J)

Anhui Province Key Laboratory of Special Heavy Load Robots, Anhui University of Technology, Ma'anshan, China.

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Classifications MeSH