CovidRhythm: A Deep Learning Model for Passive Prediction of Covid-19 Using Biobehavioral Rhythms Derived From Wearable Physiological Data

Goal: To investigate whether a deep learning model can detect Covid-19 from disruptions in the human body's physiological (heart rate) and rest-activity rhythms (rhythmic dysregulation) caused by the SARS-CoV-2 virus. Methods: We propose CovidRhythm, a novel Gated Recurrent Unit (GRU) Network w...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IEEE 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10154002/
https://www.ncbi.nlm.nih.gov/pubmed/37143920
http://dx.doi.org/10.1109/OJEMB.2023.3261223

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10154002/
https://www.ncbi.nlm.nih.gov/pubmed/37143920
http://dx.doi.org/10.1109/OJEMB.2023.3261223

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