Artifact Correction in Short-Term HRV during Strenuous Physical Exercise.

ABSTRACT: Heart rate variability (HRV) analysis can be a useful tool to detect underlying heart or even general health problems. Currently, such analysis is usually performed in controlled or semi-controlled conditions. Since many of the typical HRV measures are sensitive to data quality, manual artifact correction is common in literature, both as an exclusive method or in addition to various filters. With proliferation of Personal Monitoring Devices with continuous HRV analysis an opportunity opens for HRV analysis in a new setting. However, current artifact correction approaches have several limitations that hamper the analysis of real-life HRV data. To address this issue we propose an algorithm for automated artifact correction that has a minimal impact on HRV measures, but can handle more artifa

SUBMITTER: Krolak A 

PROVIDER: S-EPMC7664660 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature