Title: Ageing effects on HRV dynamics: a comparative study with FFT and AR models

Authors: Ramesh Kumar Sunkaria; Vinod Kumar; Suresh Chandra Saxena

Addresses: Electrical Engineering Department, Indian Institute of Technology Roorkee, Roorkee, Uttaranchal 247667, India ' Electrical Engineering Department, Indian Institute of Technology Roorkee, Roorkee, Uttaranchal 247667, India ' Electrical Engineering Department, Indian Institute of Technology Roorkee, Roorkee, Uttaranchal 247667, India

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.

Keywords: ageing effects; HRV dynamics; heart rate variability; FFT; fast Fourier transform; autoregressive modelling; electrocardiograms; ECGs; model order; final prediction error; healthy males.

DOI: 10.1504/IJSISE.2013.056636

International Journal of Signal and Imaging Systems Engineering, 2013 Vol.6 No.4, pp.240 - 249

Received: 09 May 2011
Accepted: 07 Feb 2012
Published online: 30 Sep 2013 *

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