A methodological approach using time-varying frequency bands based on respiratory frequency was presented for the analysis of nonstationary heart rate variability signals.
This methodological paper presents an approach for analyzing nonstationary heart rate variability using time-varying frequency bands based on respiratory frequency.
In this paper a methodological approach for the analysis of nonstationary heart rate variability (HRV) signals using time-varying frequency bands based on respiratory frequency is presented. Spectral analysis of HRV is accomplished by means of the Smoothed Pseudo Wigner Ville distribution. Different approaches to the definition of the low frequency (LF) and high frequency (HF) bands are considered which involve respiratory information, derived either from a respiratory signal or from the ECG itself. Results are presented which derive from recordings acquired during stress testing and induced emotion experiments.
Bailón et al. (2007) studied this question. Time-varying frequency bands based on respiratory frequency was evaluated on Heart rate variability (HRV) spectral analysis. A methodological approach using time-varying frequency bands based on respiratory frequency was presented for the analysis of nonstationary heart rate variability signals.
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