Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Aug 6, 2021
Date Accepted: Nov 30, 2021
Date Submitted to PubMed: Dec 21, 2021
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
The Role of Unobtrusive Continuous Sensing in the Diagnosis and Management of Post-Acute Sequelae of SARS CoV-2
ABSTRACT
Amid the COVID-19 pandemic, it has been reported that greater than 10% of patients with confirmed or suspected COVID-19 develop post-acute sequelae of SARS CoV-2 (PASC). PASC is still a disease for which preliminary medical data is being collected and pathophysiological understanding is yet in its infancy. The disease is notable for its prevalence and its variable symptom presentation and as such, diagnoses and management plans could be more holistically made if health care providers had access to unobtrusive continuous physiologic and physical sensor data at home. Such sensors would be able to provide vital sign and activity measurements that correlate directly or by proxy to documented PASC symptoms. These data can be collected at time points between hospital visits and can give care providers contextualized information from which symptom exacerbation or relieving factors may be classified. Such data can also improve the collective academic understanding of PASC by providing temporally and activity-associated symptom cataloging. In this viewpoint, we make a case for the utilization of sensor technologies that can serve as a foundation from which medical professionals and engineers may develop and pursue long-term mitigation strategies in conjunction with those ongoing in the acute setting.
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