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Automatic P-wave analysis of patients prone to atrial fibrillation

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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%.

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Correspondence to J. -M. Boucher.

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Clavier, L., Boucher, J.M., Lepage, R. et al. Automatic P-wave analysis of patients prone to atrial fibrillation. Med. Biol. Eng. Comput. 40, 63–71 (2002). https://doi.org/10.1007/BF02347697

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  • DOI: https://doi.org/10.1007/BF02347697

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