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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/7052
Title: Ageing effects on HRV dynamics: A comparative study with FFT and AR models
Authors: Sunkaria R.K.
Kumar V.
Saxena S.C.
Published in: International Journal of Signal and Imaging Systems Engineering
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. Copyright © 2013 Inderscience Enterprises Ltd.
Citation: International Journal of Signal and Imaging Systems Engineering (2013), 6(4): 240-249
URI: https://doi.org/10.1504/IJSISE.2013.056636
http://repository.iitr.ac.in/handle/123456789/7052
Issue Date: 2013
Publisher: Inderscience Publishers
Keywords: AR
Autoregressive model
Electrocardiogram
Fast fourier transform
FFT
Fnal prediction error
Heart rate variability
HRV
Model order
ISSN: 17480698
Author Scopus IDs: 35787505800
25646515800
35787752000
Author Affiliations: Sunkaria, R.K., Electrical Engineering Department, Indian Institute of Technology Roorkee, Roorkee, Uttaranchal 247667, India
Kumar, V., Electrical Engineering Department, Indian Institute of Technology Roorkee, Roorkee, Uttaranchal 247667, India
Saxena, S.C., Electrical Engineering Department, Indian Institute of Technology Roorkee, Roorkee, Uttaranchal 247667, India
Corresponding Author: Sunkaria, R.K.; Electrical Engineering Department, Indian Institute of Technology Roorkee, Roorkee, Uttaranchal 247667, India; email: sunkariark@gmail.com
Appears in Collections:Journal Publications [EE]

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