The proposed Kaiser window-based low-pass filtering method provides a novel approach for real-time and off-line heart rate variability analysis.
Requires clinical validation before adoption; leaves open real-time HRV use in cardiovascular monitoring.
A new method for real-time heart rate variability (HRV) detection from the R-wave signal, based on the integral pulse frequency modulation (IPFM) model and its similarity to pulse position modulation, is presented. The proposed method exerts low-pass filtering with a Kaiser window. It can also be used for off-line HRV analysis in both the time and frequency domains. Real-time bandpass filtering as a new HRV investigation method and as a by-product of the proposed algorithm is also introduced. Furthermore, the discrete time domain version of the French-Holden algorithm is developed, and it is thoroughly proved that low-pass filtering is an ideal method for detection of HRV.
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Seydnejad et al. (1997) studied this question.
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