Ageing effects on HRV dynamics: a comparative study with FFT and AR models Online publication date: Mon, 30-Sep-2013
by Ramesh Kumar Sunkaria; Vinod Kumar; Suresh Chandra Saxena
International Journal of Signal and Imaging Systems Engineering (IJSISE), Vol. 6, No. 4, 2013
Abstract: The present study aims to establish normal limits of short-term Heart Rate Variability (HRV) indices with the two popular spectral domain methods of Fast Fourier Transform (FFT) and Autoregressive (AR) model in three psychosomatically important age groups of healthy male subjects. The three considered age groups are 18-30 years, 30-45 years and 45-60 years and HRV decreases in the higher age groups when evaluated with both the FFT and AR models. Vagal control becomes weak with the ageing process. However, the corresponding HRV indices computed with both the FFT and AR models differ quantitatively, which may be due to methodological differences. The FFT-based technique evaluates HRV indices on the actual RR interval series length and hence, the HRV indices using this technique are considered to be highly accurate, where as the AR model works on the basis of linear prediction. This study may help towards optimisation of AR models such that the HRV indices calculated with both FFT and AR models are nearly the same.
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