Towards pulse rate parametrization during free-living activities using smart wristband

Physiological Measurement
Andrius RapalisVaidotas Marozas

Abstract

The growing interest to integrate consumer smart wristbands in eHealth applications spawns the need for novel approaches of data parametrization which account for the technology-specific constraints. The present study aims to investigate the feasibility of a consumer smart wristband to be used for computing pulse rate parameters during free-living activities. The feasibility of computing pulse rate variability (PRV) as well as pulse rate and physical activity-related parameters using the smart wristband was investigated, having an electrocardiogram as a reference. The parameters were studied on the pulse rate and step data from 54 participants, diagnosed with various cardiovascular diseases. The data were acquired during free-living activities with no user lifestyle intervention. The comparison results show that the smart wristband is well-suited for computing the mean interbeat interval and the standard deviation of the averaged interbeat intervals. However, it is less reliable when estimating frequency domain and nonlinear parameters. Heart recovery time, estimated by fitting an exponential model to the events, satisfying the conditions of the 3 min step test, showed satisfactory agreement (relative error  <20%) with the refe...Continue Reading

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Citations

May 10, 2019·Sensors·Daivaras SokasVaidotas Marozas
Aug 20, 2020·Journal of Physiological Anthropology·Emi YudaJunichiro Hayano
Nov 10, 2020·PloS One·Junichiro HayanoEmi Yuda
Aug 31, 2021·Frontiers in Physiology·Daivaras SokasAndrius Petrėnas

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