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 Computjournal_title
Medical & biological engineering & computingauthors
Clavier L,Boucher JM,Lepage R,Blanc JJ,Cornily JCdoi
10.1007/BF02347697keywords:
subject
Has Abstractpub_date
2002-01-01 00:00:00pages
63-71issue
1eissn
0140-0118issn
1741-0444journal_volume
40pub_type
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