Local Hölder Regularity-Based Modeling of RR Intervals

Author

Vehel, J.L. ; Barriere, O.

Author_Institution

Projet APIS INRIA Saclay - Ile-de-France, Pare Orsay Univ., Orsay

fYear

2008

fDate

17-19 June 2008

Firstpage

75

Lastpage

80

Abstract

We analyze the local regularity of RR traces from ECG through the computation of the so-called Holder exponents. These exponents are at the basis of multifractal analysis, which has been shown to be relevant in the study of RR data. While multifractal analysis yields a global picture of the (statistical) distribution of regularity, we focus here on its time evolution. We show that this evolution is strongly correlated with the signal itself, a feature that seems to have remained unnoticed so far. We use this fact to build realistic synthetic RR traces.

Keywords

electrocardiography; fractals; medical signal processing; statistical distributions; ECG; Holder exponents; local holder regularity-based modeling; multifractal analysis; regularity distribution; Chemical analysis; Data analysis; Distributed computing; Electrocardiography; Evolution (biology); Fractals; Heart; Information analysis; Pathology; Signal analysis; Hölder exponent; RR intervals; local regularity; multifractional Brownian motion; self regulating multifractional process;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Based Medical Systems, 2008. CBMS '08. 21st IEEE International Symposium on

Conference_Location

Jyvaskyla

ISSN

1063-7125

Print_ISBN

978-0-7695-3165-6

Type

conf

DOI

10.1109/CBMS.2008.65

Filename

4561959