Multifractal analysis of heart rate variability

Author

Ramchurn, SK ; Murray, A.

Author_Institution

Univ. of Mauritius, Reduit, Mauritius

fYear

2001

fDate

2001

Firstpage

461

Lastpage

464

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology 2001

Conference_Location

Rotterdam

ISSN

0276-6547

Print_ISBN

0-7803-7266-2

Type

conf

DOI

10.1109/CIC.2001.977692

Filename

977692