Title :
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
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;
Conference_Titel :
Computers in Cardiology 2001
Conference_Location :
Rotterdam
Print_ISBN :
0-7803-7266-2
DOI :
10.1109/CIC.2001.977596
