Observational study on wearable biosensors and machine learning-based remote monitoring of COVID-19 patients

Observational study on wearable biosensors and machine learning-based remote monitoring of COVID-19 patients

Abstract Patients infected with SARS-CoV-2 may deteriorate rapidly and therefore continuous monitoring is necessary. We conducted an observational study involving patients with mild COVID-19 to explore the potentials of wearable biosensors and machine learning-based analysis of physiology parameters...

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Bibliographic Details
Main Authors: Ka-Chun Un, Chun-Ka Wong, Yuk-Ming Lau, Jeffrey Chun-Yin Lee, Frankie Chor-Cheung Tam, Wing-Hon Lai, Yee-Man Lau, Hao Chen, Sandi Wibowo, Xiaozhu Zhang, Minghao Yan, Esther Wu, Soon-Chee Chan, Sze-Ming Lee, Augustine Chow, Raymond Cheuk-Fung Tong, Maulik D. Majmudar, Kuldeep Singh Rajput, Ivan Fan-Ngai Hung, Chung-Wah Siu
Format: Article
Language:English
Published: Nature Publishing Group 2021-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-82771-7

Internet

https://doi.org/10.1038/s41598-021-82771-7

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