Assessment of the value of wavelet analysis of Holter recordings for the prediction of sudden cardiac death

Author

Selmaoui, N. ; Rubel, P. ; Chevalier, Ph ; Frangin, G.A.

Author_Institution

Univ. of New Caledonia, Noumea, France

fYear

2001

fDate

2001

Firstpage

81

Lastpage

84

Abstract

The aim of this paper is to validate wavelet analysis of Holter recordings as a tool for the detection of risk of sudden cardiac death for patients surviving an acute myocardial infarction. The study uses time-averaged HR-ECGs from the European Myocardial Infarct Amiodarone Trial (EMIAT). Each HR-ECG is transformed into 511 orthogonal Meyer wavelet coefficients, extending from 128 ms before to 384 ms after QRS onset, and their value is assessed by means of the CARTEF Time-Frequency Abnormalities Stratification method. We then perform a linear discriminant analysis to assess the discriminant power of all wavelet coefficients with a significant p-value (p<0.0001), and we compare them to the clinical parameters and also to a combination of them

Keywords

electrocardiography; medical diagnostic computing; medical signal processing; statistical analysis; wavelet transforms; CARTEF time-frequency abnormalities stratification method; Holter recordings; acute myocardial infarction; clinical parameters; linear discriminant analysis; orthogonal Meyer wavelet coefficients; p-value; sudden cardiac death; wavelet analysis; Cardiac disease; Cardiology; Databases; Electrocardiography; Heart; Linear discriminant analysis; Myocardium; Risk analysis; Time frequency analysis; Wavelet analysis;

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.2001.977596

Filename

977596