Real-time heart rate variability extraction using the Kaiser window.
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.
Seydnejad
S R
SR
Department of Electrical Engineering, Imperial College, London, U.K. s.seydnejad@ic.ac.uk
Kitney
R I
RI
D000465:Algorithms; D004562:Electrocardiography / Q000295:instrumentation / Q000379:methods* / Q000706:statistics & numerical data; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008955:Models, Cardiovascular; D015656:Respiratory Mechanics / Q000502:physiology; D012815:Signal Processing, Computer-Assisted