Title :
Comparison of techniques for estimating baroreflex gain from heart rate and blood pressure spectra
Author :
Clayton, R.H. ; Bowman, A.J. ; Ford, G.A. ; Murray, A.
Author_Institution :
Freeman Hospital, Newcastle upon Tyne Univ., UK
Abstract :
Heart rate and blood pressure are linked by the baroreflex mechanism. Baroreflex gain can be estimated from the ratio of RR interval to systolic pressure spectra. This value, /spl alpha/, has units of ms mmHg/sup -1/. The aim of this study was to quantify the effect of using four different techniques for estimating the spectra on estimates of /spl alpha/. Nine healthy subjects were studied. Each relaxed supine for 20 min, ECG (lead II) and finger blood pressure (Finapres) signals were then recorded to computer with a sample rate of 250 Hz. Each recording was 5 min long. RR interval and systolic pressure sequences were resampled at 4 Hz and transformed into the frequency domain using an averaged Fast Fourier Transform (FFT), averaged zero padded FFT (FFTZ), widowed autocovariance function (ACVF) and the maximum entropy method (ME). This study shows that the use of different spectral analysis techniques does not significantly affect estimation of baroreflex gain, /spl alpha/, and that the results of different studies can be compared.
Keywords :
biocontrol; cardiology; electrocardiography; fast Fourier transforms; haemodynamics; maximum entropy methods; medical signal processing; spectral analysis; ECG; RR interval; averaged Fast Fourier Transform; averaged zero padded FFT; baroreflex gain; baroreflex mechanism; blood pressure spectra; finger blood pressure; frequency domain; healthy subjects; heart rate; maximum entropy method; physiological control system; relaxed supine; sample rate; spectral analysis techniques; systolic pressure sequences; systolic pressure spectra; widowed autocovariance function; Baroreflex; Blood pressure; Electrocardiography; Fast Fourier transforms; Frequency domain analysis; Frequency estimation; Heart rate; Pressure measurement; Signal processing; Spectral analysis;
Conference_Titel :
Computers in Cardiology 1995
Conference_Location :
Vienna, Austria
Print_ISBN :
0-7803-3053-6
DOI :
10.1109/CIC.1995.482632