Document Detail
ECG Segmentation and P-Wave Feature Extraction: Application to Patients Prone to Atrial Fibrillation
Abstract/OtherAbstract :
This paper presents an automatic analysis method of the P-wave, based on lead II of a 12 lead standard ECG, which will be applied to the detection of patients prone to atrial fibrillation (AF), one of the most frequent arrhythmias. It focuses first on the segmentation of the electrocardiogram P-wave, which is performed in two steps: first, detection of the QRS complexes, then association of a wavelet analysis method and a hidden Markov model to represent one heat of the signal. After segmentation, the P-wave is isolated and a set of parameters, which have the ability to detect patients prone to AF, is calculated from it. The detection efficiency is validated on an ECG database of 145 patients including a control group and a study group with documented AF. A discriminant analysis is applied and the results obtained show a specificity and a sensitivity between 65% and 70%., Papers from 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, October 25-28, 2001, held in Istanbul, Turkey. See also ADM001351 for entire conference on cd-rom.
Authors :
Lepage, Ronan, Boucher, Jean-Marc, Blanc, Jean-Jacques, Cornilly, Jean-Christophe
Contributors :
ECOLE NATIONALE SUPERIEURE DES TELECOMMUNICATIONS DE BRETAGNE BREST (FRANCE)IMAGE INFO PROCESSING DEPT
Publication Detail :
Publisher :  -     Type :  Text     Format :  text/html    
Date Detail :
2001-10-25
Subject :
MEDICINE AND MEDICAL RESEARCH, *ELECTROCARDIOGRAPHY, *ARRHYTHMIA, DATA BASES, DETECTION, DIAGNOSIS(MEDICINE), MARKOV PROCESSES, DISCRIMINATE ANALYSIS, ELECTROPHYSIOLOGY., AF(ATRIAL FIBRILLATION), P-WAVES, FOREIGN REPORTS
Coverage :
-
Relation :
-
Source :
DTIC
Copyright Information :
APPROVED FOR PUBLIC RELEASE
Other Details :
Languages :  en    
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