A two-step pre-processing tool to remove Gaussian and ectopic noise for heart rate variability analysis.

ABSTRACT: Artifacts in the Electrocardiogram (ECG) degrade the quality of the recorded signal and are not conducive to heart rate variability (HRV) analysis. The two types of noise most often found in ECG recordings are technical and physiological artifacts. Current preprocessing methods primarily attend to ectopic beats but do not consider technical issues that affect the ECG. A secondary aim of this study was to investigate the effect of increasing increments of artifacts on 24 of the most used HRV measures. A two-step preprocessing approach for denoising HRV is introduced which targets each type of noise separately. First, the technical artifacts in the ECG are eliminated by applying complete ensemble empirical mode decomposition with adaptive noise. The second step removes physiological artifact

SUBMITTER: Saleem S 

PROVIDER: S-EPMC9626590 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature