Key result
Detrended fluctuation analysis of heart rate time series in athletes demonstrated three distinct regions of scale-invariance corresponding to VLF, LF, and HF bands with significantly different scaling exponents (p < 10^-5).
Cross-Sectional (n=10)
Detrended fluctuation analysis of heart rate time series in athletes demonstrates three distinct scaling regions that directly correspond to the well-known VLF, LF, and HF bands of heart rate variability.
Refines HRV scaling analysis in athletes; leaves open whether band-specific exponents predict outcomes or guide practice.
Scaling analysis of heart rate time series has emerged as a useful tool for the assessment of autonomic cardiac control. We investigate the heart rate time series of ten athletes (five males and five females), by applying detrended fluctuation analysis (DFA). High resolution ECGs are recorded under standardized resting conditions over 30 min and subsequently heart rate time series are extracted and artifacts filtered. We find three distinct regions of scale invariance, which correspond to the well-known VLF, LF and HF bands in the power spectra of heart rate variability. The scaling exponents alpha are alpha(HF): 1.15 [0.96-1.22], alpha(LF): 0.68 [0.57-0.84], alpha(VLF): 0.83[0.82-0.99], p < 10(-5)). In conclusion, DFA scaling exponents of heart rate time series should be fitted to the VLF, LF and HF ranges, respectively.
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Baumert et al. (2006) conducted a cross-sectional in Healthy athletes (n=10). High-resolution ECG recording at rest was evaluated on Scaling exponents (α) in HF, LF, and VLF bands using detrended fluctuation analysis (p=<10^-5). Detrended fluctuation analysis of heart rate time series in athletes demonstrated three distinct regions of scale-invariance corresponding to VLF, LF, and HF bands with significantly different scaling exponents (p < 10^-5).
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