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

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 to detec...

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Detalles Bibliográficos
Autores principales: Un, Ka-Chun, Wong, Chun-Ka, Lau, Yuk-Ming, Lee, Jeffrey Chun-Yin, Tam, Frankie Chor-Cheung, Lai, Wing-Hon, Lau, Yee-Man, Chen, Hao, Wibowo, Sandi, Zhang, Xiaozhu, Yan, Minghao, Wu, Esther, Chan, Soon-Chee, Lee, Sze-Ming, Chow, Augustine, Tong, Raymond Cheuk-Fung, Majmudar, Maulik D., Rajput, Kuldeep Singh, Hung, Ivan Fan-Ngai, Siu, Chung-Wah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902655/
https://www.ncbi.nlm.nih.gov/pubmed/33623096
http://dx.doi.org/10.1038/s41598-021-82771-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902655/
https://www.ncbi.nlm.nih.gov/pubmed/33623096
http://dx.doi.org/10.1038/s41598-021-82771-7

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