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Optimizing sampling rate of wrist-worn optical sensors for physiologic monitoring.

Publication ,  Journal Article
Bent, B; Dunn, JP
Published in: Journal of clinical and translational science
August 2020

Personalized medicine has exposed wearable sensors as new sources of biomedical data which are expected to accrue annual data storage costs of approximately $7.2 trillion by 2020 (>2000 exabytes). To improve the usability of wearable devices in healthcare, it is necessary to determine the minimum amount of data needed for accurate health assessment.Here, we present a generalizable optimization framework for determining the minimum necessary sampling rate for wearable sensors and apply our method to determine optimal optical blood volume pulse sampling rate. We implement t-tests, Bland-Altman analysis, and regression-based visualizations to identify optimal sampling rates of wrist-worn optical sensors.We determine the optimal sampling rate of wrist-worn optical sensors for heart rate and heart rate variability monitoring to be 21-64 Hz, depending on the metric.Determining the optimal sampling rate allows us to compress biomedical data and reduce storage needs and financial costs. We have used optical heart rate sensors as a case study for the connection between data volumes and resource requirements to develop methodology for determining the optimal sampling rate for clinical relevance that minimizes resource utilization. This methodology is extensible to other wearable sensors.

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Published In

Journal of clinical and translational science

DOI

EISSN

2059-8661

ISSN

2059-8661

Publication Date

August 2020

Volume

5

Issue

1

Start / End Page

e34
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Bent, B., & Dunn, J. P. (2020). Optimizing sampling rate of wrist-worn optical sensors for physiologic monitoring. Journal of Clinical and Translational Science, 5(1), e34. https://doi.org/10.1017/cts.2020.526
Bent, Brinnae, and Jessilyn P. Dunn. “Optimizing sampling rate of wrist-worn optical sensors for physiologic monitoring.Journal of Clinical and Translational Science 5, no. 1 (August 2020): e34. https://doi.org/10.1017/cts.2020.526.
Bent B, Dunn JP. Optimizing sampling rate of wrist-worn optical sensors for physiologic monitoring. Journal of clinical and translational science. 2020 Aug;5(1):e34.
Bent, Brinnae, and Jessilyn P. Dunn. “Optimizing sampling rate of wrist-worn optical sensors for physiologic monitoring.Journal of Clinical and Translational Science, vol. 5, no. 1, Aug. 2020, p. e34. Epmc, doi:10.1017/cts.2020.526.
Bent B, Dunn JP. Optimizing sampling rate of wrist-worn optical sensors for physiologic monitoring. Journal of clinical and translational science. 2020 Aug;5(1):e34.
Journal cover image

Published In

Journal of clinical and translational science

DOI

EISSN

2059-8661

ISSN

2059-8661

Publication Date

August 2020

Volume

5

Issue

1

Start / End Page

e34