Title :
Multifractal analysis of heart rate variability
Author :
Ramchurn, SK ; Murray, A.
Author_Institution :
Univ. of Mauritius, Reduit, Mauritius
Abstract :
We have studied the R-R variability of five young and five elderly subjects for multi-fractal behaviour using a partition function method. The partition function, obtained using the wavelet transform modulus maxima method, allowed the computation of local Hurst exponents. The multi-fractal spectrum was obtained from the Hurst exponents using a Legendre transformation. The computations revealed specific values of the Hurst exponent at which the multi-fractal spectrum peaked, with a clear separation between young and elderly subjects. The peaks of the young subjects occurred for Hurst exponents in the range 0.06 to 0.13, whereas the peaks for the elderly subjects were in the range 0.29 to 0.36
Keywords :
Legendre polynomials; electrocardiography; fractals; geriatrics; medical signal processing; spectral analysis; wavelet transforms; Legendre transformation; R-R variability; elderly subjects; heart rate variability; local Hurst exponents; multi-fractal analysis; multifractal spectrum peaks; partition function method; wavelet transform modulus maxima method; young subjects; Cardiology; Continuous wavelet transforms; Fractals; Frequency; Heart beat; Heart rate variability; Senior citizens; Signal resolution; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Computers in Cardiology 2001
Conference_Location :
Rotterdam
Print_ISBN :
0-7803-7266-2
DOI :
10.1109/CIC.2001.977692