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A review of wearable and unobtrusive sensing technologies for chronic disease management
With the rapidly increasing number of patients with chronic disease, numerous recent studies have put great efforts into achieving long-term health monitoring and patient management. Specifically, chronic diseases including cardiovascular disease, chronic respiratory disease and brain disease can th...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7733550/ https://www.ncbi.nlm.nih.gov/pubmed/33348217 http://dx.doi.org/10.1016/j.compbiomed.2020.104163 |
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author | Guo, Yao Liu, Xiangyu Peng, Shun Jiang, Xinyu Xu, Ke Chen, Chen Wang, Zeyu Dai, Chenyun Chen, Wei |
author_facet | Guo, Yao Liu, Xiangyu Peng, Shun Jiang, Xinyu Xu, Ke Chen, Chen Wang, Zeyu Dai, Chenyun Chen, Wei |
author_sort | Guo, Yao |
collection | PubMed |
description | With the rapidly increasing number of patients with chronic disease, numerous recent studies have put great efforts into achieving long-term health monitoring and patient management. Specifically, chronic diseases including cardiovascular disease, chronic respiratory disease and brain disease can threaten patients’ health conditions over a long period of time, thus effecting their daily lives. Vital health parameters, such as heart rate, respiratory rate, SpO(2) and blood pressure, are closely associated with patients’ conditions. Wearable devices and unobtrusive sensing technologies can detect such parameters in a convenient way and provide timely predictions on health condition deterioration by tracking these biomedical signals and health parameters. In this paper, we review current advancements in wearable devices and unobtrusive sensing technologies that can provides possible tools and technological supports for chronic disease management. Current challenges and future directions of related techniques are addressed accordingly. |
format | Online Article Text |
id | pubmed-7733550 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77335502020-12-14 A review of wearable and unobtrusive sensing technologies for chronic disease management Guo, Yao Liu, Xiangyu Peng, Shun Jiang, Xinyu Xu, Ke Chen, Chen Wang, Zeyu Dai, Chenyun Chen, Wei Comput Biol Med Article With the rapidly increasing number of patients with chronic disease, numerous recent studies have put great efforts into achieving long-term health monitoring and patient management. Specifically, chronic diseases including cardiovascular disease, chronic respiratory disease and brain disease can threaten patients’ health conditions over a long period of time, thus effecting their daily lives. Vital health parameters, such as heart rate, respiratory rate, SpO(2) and blood pressure, are closely associated with patients’ conditions. Wearable devices and unobtrusive sensing technologies can detect such parameters in a convenient way and provide timely predictions on health condition deterioration by tracking these biomedical signals and health parameters. In this paper, we review current advancements in wearable devices and unobtrusive sensing technologies that can provides possible tools and technological supports for chronic disease management. Current challenges and future directions of related techniques are addressed accordingly. Elsevier Ltd. 2021-02 2020-12-13 /pmc/articles/PMC7733550/ /pubmed/33348217 http://dx.doi.org/10.1016/j.compbiomed.2020.104163 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Guo, Yao Liu, Xiangyu Peng, Shun Jiang, Xinyu Xu, Ke Chen, Chen Wang, Zeyu Dai, Chenyun Chen, Wei A review of wearable and unobtrusive sensing technologies for chronic disease management |
title | A review of wearable and unobtrusive sensing technologies for chronic disease management |
title_full | A review of wearable and unobtrusive sensing technologies for chronic disease management |
title_fullStr | A review of wearable and unobtrusive sensing technologies for chronic disease management |
title_full_unstemmed | A review of wearable and unobtrusive sensing technologies for chronic disease management |
title_short | A review of wearable and unobtrusive sensing technologies for chronic disease management |
title_sort | review of wearable and unobtrusive sensing technologies for chronic disease management |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7733550/ https://www.ncbi.nlm.nih.gov/pubmed/33348217 http://dx.doi.org/10.1016/j.compbiomed.2020.104163 |
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