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Published on: June 5, 2019
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.
Abstract:
The origin of heart rate variability (HRV) is largely in parasympathetic activity. The direct influence of sympathetic activity and other control mechanisms, especially at an increased HR, is not well understood. The objectives of the study were to investigate the influence of increasing HR on the properties of heartbeat interval (RR) series in young healthy subjects. ECG was recorded in 9 trained and 11 untrained young men during supine rest, standing, incremental running exercise and relaxation. During exercise, a breath-to-breath gas exchange was monitored. The RR time series analysis included the spectral analysis, detrended fluctuations analysis method and sample entropy (SampEn) calculation. During exercise, spectral powers were reduced dramatically in both groups. The dependence of short-term scaling exponent (alpha(1)) on the RR included a characteristic maximum, while SampEn for the same value of the RR had a minimum. The value of HR corresponding to the maximum of alpha(1) and minimum of SampEn (IHR) corresponded to the intrinsic HR obtained by an autonomic blockade. In trained subjects, the curves alpha(1) versus RR and SampEn versus RR were moved toward larger RR, compared with control. For HR values higher than IHR, alpha(1) decreased and SampEn increased. These results reveal that the complexity of the heart rhythm above intrinsic HR decreases with an increase in HR. We suggest that at the highest HR intrinsic heart control is reflected in the heart rhythm. We point out the possibility of developing a new non-invasive method for the determination of intrinsic HR from the curve alpha(1) versus RR.
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