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Detection and Monitoring of Viral Infections via Wearable Devices and Biometric Data.


ABSTRACT: Mounting clinical evidence suggests that viral infections can lead to detectable changes in an individual's normal physiologic and behavioral metrics, including heart and respiration rates, heart rate variability, temperature, activity, and sleep prior to symptom onset, potentially even in asymptomatic individuals. While the ability of wearable devices to detect viral infections in a real-world setting has yet to be proven, multiple recent studies have established that individual, continuous data from a range of biometric monitoring technologies can be easily acquired and that through the use of machine learning techniques, physiological signals and warning signs can be identified. In this review, we highlight the existing knowledge base supporting the potential for widespread implementation of biometric data to address existing gaps in the diagnosis and treatment of viral illnesses, with a particular focus on the many important lessons learned from the coronavirus disease 2019 pandemic.

SUBMITTER: Goergen CJ 

PROVIDER: S-EPMC9218991 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

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Detection and Monitoring of Viral Infections via Wearable Devices and Biometric Data.

Goergen Craig J CJ   Tweardy MacKenzie J MJ   Steinhubl Steven R SR   Wegerich Stephan W SW   Singh Karnika K   Mieloszyk Rebecca J RJ   Dunn Jessilyn J  

Annual review of biomedical engineering 20211221


Mounting clinical evidence suggests that viral infections can lead to detectable changes in an individual's normal physiologic and behavioral metrics, including heart and respiration rates, heart rate variability, temperature, activity, and sleep prior to symptom onset, potentially even in asymptomatic individuals. While the ability of wearable devices to detect viral infections in a real-world setting has yet to be proven, multiple recent studies have established that individual, continuous dat  ...[more]

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