Complexity of heartbeat interval series in young healthy trained and untrained men

Mirjana M Platisa1, Sanja Mazic, Zorica Nestorovic

  • 1Institute of Biophysics, Faculty of Medicine, University of Belgrade, Visegradska 26, 11000 Belgrade, Serbia. mplatisa@infosky.net

Insights

Heart rate variability (HRV) complexity decreases as heart rate (HR) increases above intrinsic HR. This study suggests a new non-invasive method to determine intrinsic HR using heart rhythm complexity analysis.

Area of Science:

  • Cardiology
  • Physiology
  • Biomedical Engineering

Background:

  • Heart rate variability (HRV) is primarily influenced by parasympathetic activity.
  • The impact of sympathetic activity and other control mechanisms on HRV, particularly at elevated heart rates (HR), remains unclear.

Purpose of the Study:

  • To investigate how increasing HR affects the properties of heartbeat interval (RR) series in young, healthy individuals.
  • To explore the relationship between HR, complexity measures, and intrinsic HR.

Main Methods:

  • ECG recording in trained and untrained men during rest, standing, exercise, and relaxation.
  • Analysis of RR time series using spectral analysis, detrended fluctuation analysis (DFA), and sample entropy (SampEn).
  • Monitoring breath-to-breath gas exchange during exercise.

Main Results:

  • Spectral powers significantly decreased during exercise in both groups.
  • The short-term scaling exponent (alpha(1)) showed a maximum, and SampEn showed a minimum at a specific RR interval, defining the intrinsic HR (IHR).
  • Trained subjects exhibited shifts in alpha(1) and SampEn curves towards longer RR intervals compared to untrained subjects.

Conclusions:

  • Heart rhythm complexity diminishes with increasing HR above the intrinsic HR.
  • At maximal HR, intrinsic heart control appears to be reflected in the heart rhythm.
  • A novel non-invasive method for determining intrinsic HR using the alpha(1) versus RR curve is proposed.

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