Comparison of autoregressive and Fourier transform based techniques for estimating RR interval spectra

Clayton, RH; Lord, SW; McComb, JM; Murray, A

doi:10.1109/CIC.1997.647912

Comparison of autoregressive and Fourier transform based techniques for estimating RR interval spectra

Lookup NU author(s): Dr Janet McComb, Emeritus Professor Alan Murray ORCiD

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Abstract

Two fundamentally different approaches have been used to estimate spectra of RR interval series. The classical approach uses a Fourier transform (FT), and the model based approach uses an autoregressive (AR) model. The aim of this study was to compare estimates of both low frequency (LF) and high frequency (HF) heart rate variability (HRV) obtained using both FT and AR techniques. Five minute RR interval series were obtained from a group of normals (N=9) and a group of heart transplant patients with decreased HRV (N=9). For the normal group, mean LF power was 1164 ms(2) (SD 817 ms(2)) with the FT and 1358 ms(2) (SD 906 ms(2)) with the AR method. Mean HF power was 1010 ms(2) (SD 1321 ms(2)) with the FT and 442 ms(2) (SD 718 ms(2)) with the AR method. In the transplant group LF HRV was unmeasureable, and mean HF power was 2.39 ms(2) with the FT and 5.31 ms(2) with the AR method. Overall the two measures were well correlated (r=0.74). Both FT and AR spectra provide a comparable measure of LF and HF HRV.