%0 Journal Article
%A Sauerbier, Frank
%A Haerting, Johannes
%A Sedding, Daniel
%A Mikolajczyk, Rafael
%A Werdan, Karl
%A Nuding, Sebastian
%A Greiser, Karin H
%A Swenne, Cees A
%A Kors, Jan A
%A Kluttig, Alexander
%T Impact of QRS misclassifications on heart-rate-variability parameters (results from the CARLA cohort study).
%J PLOS ONE
%V 19
%N 6
%@ 1932-6203
%C San Francisco, California, US
%I PLOS
%M DKFZ-2024-01295
%P e0304893 -
%D 2024
%X Heart rate variability (HRV), an important marker of autonomic nervous system activity, is usually determined from electrocardiogram (ECG) recordings corrected for extrasystoles and artifacts. Especially in large population-based studies, computer-based algorithms are used to determine RR intervals. The Modular ECG Analysis System MEANS is a widely used tool, especially in large studies. The aim of this study was therefore to evaluate MEANS for its ability to detect non-sinus ECG beats and artifacts and to compare HRV parameters in relation to ECG processing. Additionally, we analyzed how ECG processing affects the statistical association of HRV with cardiovascular disease (CVD) risk factors.20-min ECGs from 1,674 subjects of the population-based CARLA study were available for HRV analysis. All ECGs were processed with the ECG computer program MEANS. A reference standard was established by experienced clinicians who visually inspected the MEANS-processed ECGs and reclassified beats if necessary. HRV parameters were calculated for 5-minute segments selected from the original 20-minute ECG. The effects of misclassified typified normal beats on i) HRV calculation and ii) the associations of CVD risk factors (sex, age, diabetes, myocardial infarction) with HRV were modeled using linear regression.Compared to the reference standard, MEANS correctly classified 99
%K Humans
%K Heart Rate: physiology
%K Electrocardiography: methods
%K Female
%K Male
%K Middle Aged
%K Aged
%K Cohort Studies
%K Algorithms
%K Cardiovascular Diseases: diagnosis
%K Cardiovascular Diseases: physiopathology
%K Risk Factors
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:38885223
%R 10.1371/journal.pone.0304893
%U https://inrepo02.dkfz.de/record/291075