Automatic P-wave analysis of patients prone to atrial fibrillation.

Abstract:

:A method is presented for automatic analysis of the P-wave, based on lead II of a 12-lead standard ECG, in resting conditions during a routine examination for the detection of patients prone to atrial fibrillation (AF), one of the most prevalent arrhythmias. First, the P-wave was delineated, and this was achieved in two steps: the detection of the QRS complexes for ECG segmentation, using a wavelet analysis method, and a hidden Markov model to represent one beat of the signal for P-wave isolation. Then, a set of parameters to detect patients prone to AF was calculated from the P-wave. The detection efficiency was validated on an ECG database of 145 patients, including a control group of 63 people and a study group of 82 patients with documented AF. A discriminant analysis was applied, and the results obtained showed a specificity and a sensitivity between 65% and 70%.

journal_name

Med Biol Eng Comput

authors

Clavier L,Boucher JM,Lepage R,Blanc JJ,Cornily JC

doi

10.1007/BF02347697

keywords:

subject

Has Abstract

pub_date

2002-01-01 00:00:00

pages

63-71

issue

1

eissn

0140-0118

issn

1741-0444

journal_volume

40

pub_type

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