Title :
Real-time heart rate variability extraction using the Kaiser window
Author :
Seydnejad, Saeid Reza ; Kitney, Richard I.
Author_Institution :
Dept. of Electr. Eng., Imperial Coll. of Sci., Technol. & Med., London, UK
Abstract :
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 lowpass 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 lowpass filtering is an ideal method for detection of HRV.
Keywords :
electrocardiography; feature extraction; frequency-domain analysis; medical signal processing; physiological models; time-domain analysis; ECG; French-Holden algorithm; Kaiser window; R-wave signal; electrodiagnostics; integral pulse frequency modulation model; off-line analysis; pulse position modulation; real-time bandpass filtering; real-time heart rate variability extraction; signal reconstruction; signal sampling; Band pass filters; Cardiovascular system; Data mining; Filtering algorithms; Frequency domain analysis; Frequency modulation; Heart rate detection; Heart rate variability; Nervous system; Pulse modulation; Algorithms; Electrocardiography; Heart Rate; Humans; Models, Cardiovascular; Respiratory Mechanics; Signal Processing, Computer-Assisted;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
