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Last Posted: Jun 19, 2024
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Early adverse physiological event detection using commercial wearables: challenges and opportunities

From the abstract: " Data from commercial off-the-shelf (COTS) wearables leveraged with machine learning algorithms provide an unprecedented potential for the early detection of adverse physiological events. However, several challenges inhibit this potential, including (1) heterogeneity among and within participants that make scaling detection algorithms to a general population less precise, (2) confounders that lead to incorrect assumptions regarding a participant’s healthy state, (3) noise in the data at the sensor level that limits the sensitivity of detection algorithms, and (4) imprecision in self-reported labels that misrepresent the true data values associated with a given physiological event. "

Citizen data sovereignty is key to wearables and wellness data reuse for the common good.
Stephen Gilbert et al. NPJ Digit Med 2024 2 (1) 27

From the abstract: "Smartphones, smartwatches, linked wearables, and associated wellness apps have had rapid uptake. These tools become ever ‘smarter’ in sensing intimate aspects of our surroundings and physiology over time, including activity, metabolites, electrical signals, blood pressure and oxygenation. There has been pushback against the ever-increasing gathering and sharing of wellness data in this context, increasing with every app purchased or updated. "

Wearable Technology in Clinical Practice for Depressive Disorder
S Fedor et al, NEJM, December 28, 2023

From the article: "Wearables enable passive monitoring (i.e., monitoring without active input) of behavioral and physiological factors. The greater frequency and objectivity of wearable measurements help overcome some of the limitations of adherence and bias when depression is monitored exclusively with self-reports. Longitudinal measurements from wearables — especially when coupled with contextual data from smartphones — have the potential to augment existing clinical decision-making processes in psychiatry. Complementing patient self-reports, these measurements increase the information available for differential diagnosis or treatment planning. "

Utility of smart watches for identifying arrhythmias in children
A Zahedivash et al, Comm Medicine, December 13, 2023

From the abstract: " Arrhythmia symptoms are frequent complaints in children and often require a pediatric cardiology evaluation. Data regarding the clinical utility of wearable technologies are limited in children. We hypothesize that a smart watch can capture arrhythmias in children. We present an analysis of patients =18 years-of-age who had signs of an arrhythmia documented by a smart watch. We include patients evaluated at our center over a 4-year-period and highlight those receiving a formal arrhythmia diagnosis. We evaluate the role of the smart watch in arrhythmia diagnosis, the results of other ambulatory cardiac monitoring studies, and findings of any EP studies."

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Disclaimer: Articles listed in the Public Health Genomics and Precision Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.

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