Effects of Beta Blocker Therapy on RR Interval Correlations During Exercise

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Abstract

The effects of beta blockers (BBs) on heart rate (HR) and HR variability (HRV) are well known in general, but RR interval (RRI) correlations during an exercise test have not been previously studied in detail. We analyzed RRIs extracted from Mason-Likar modified 12-lead ECG recordings during a clinical exercise test ($N\ =\ 2257$, of which 1227 with BBs) from the FINCAVAS database. We computed the short-term scaling exponent $\alpha_{1}$ of detrended fluctuation analysis (DFA) in one-minute segments before, during and after exercise. Several confounding factors such as age, sex, diseases and medication were taken into account with propensity score matching. During rest, BBs significantly reduced the DFA scaling exponents, but the effect was opposite in the recovery phase. Thus, BBs were found to limit the $\alpha_{1}$ range. However, propensity score matching accounting for the confounding factors was found to diminish the differences. The dependency of the scaling exponents on the HR was found to be similar in both groups, and disappeared during the exercise.
Original languageEnglish
Title of host publication2023 Computing in Cardiology (CinC)
PublisherComputing in Cardiology
Number of pages4
DOIs
Publication statusPublished - 2023
Publication typeA4 Article in conference proceedings
EventComputing in Cardiology - Atlanta, United States
Duration: 1 Oct 20234 Oct 2023

Publication series

NameComputing in Cardiology
Volume50
ISSN (Electronic)2325-887X

Conference

ConferenceComputing in Cardiology
Country/TerritoryUnited States
CityAtlanta
Period1/10/234/10/23

Publication forum classification

  • Publication forum level 1

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