Title :
Nonstationarity and 1/f noise characteristics in heart rate
Author :
Pilgram, Berndt ; Kaplan, Daniel T.
Author_Institution :
Centre for Nonlinear Dynamics, McGill Univ., Montreal, Que., Canada
Abstract :
Presents several methods for estimating the exponent /spl alpha/ of the 1/f/sup /spl alpha//-type spectral behaviour of heart rate (HR) power spectrum. The authors give a comparison of the statistical properties of various estimators, i.e., maximum likelihood estimation (MLE), Hurst exponent, detrended fluctuation analysis (DFA) and regression of the power spectrum. A method to investigate nonstationarity is explained and applications of these estimators to long term HR recordings are given. The results obtained indicate that the power-law structure of HR is nonstationary and that observed 1/f/sup /spl alpha// patterns may be due to the interaction of the estimators with the nonstationarity in the exponent /spl alpha/.
Keywords :
1/f noise; electrocardiography; maximum likelihood estimation; medical signal processing; spectral analysis; 1/f noise characteristics; 1/f/sup /spl alpha// patterns; Hurst exponent; detrended fluctuation analysis; estimators interaction; heart rate power spectrum; long term recordings; nonstationarity; power spectrum regression; power-law structure; Blood pressure; Cardiovascular system; Control systems; Covariance matrix; Doped fiber amplifiers; Fluctuations; Frequency estimation; Heart rate; Maximum likelihood estimation; Signal analysis;
Conference_Titel :
Computers in Cardiology, 1996
Conference_Location :
Indianapolis, IN, USA
Print_ISBN :
0-7803-3710-7
DOI :
10.1109/CIC.1996.542500
