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Automatic p wave analysis over 24 hours in patients with paroxysmal or persistent atrial fibrillation.
- Source :
-
Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc [Ann Noninvasive Electrocardiol] 2007 Oct; Vol. 12 (4), pp. 306-15. - Publication Year :
- 2007
-
Abstract
- Background: Patients with atrial fibrillation (AF) often exhibit abnormalities of P wave morphology during sinus rhythm. We examined a novel method for automatic P wave analysis in the 24-hour-Holter-ECG of 60 patients with paroxysmal or persistent AF and 12 healthy subjects.<br />Methods: Recorded ECG signals were transferred to the analysis program where 5-10 P and R waves were manually marked. A wavelet transform performed a time-frequency decomposition to train neural networks. Afterwards, the detected P waves were described using a Gauss function optimized to fit the individual morphology and providing amplitude and duration at half P wave height.<br />Results: >96% of P waves were detected, 47.4 +/- 20.7% successfully analyzed afterwards. In the patient population, the mean amplitude was 0.073 +/- 0.028 mV (mean variance 0.020 +/- 0.008 mV(2)), the mean duration at half height 23.5 +/- 2.7 ms (mean variance 4.2 +/- 1.6 ms(2)). In the control group, the mean amplitude (0.105 +/- 0.020 ms) was significantly higher (P < 0.0005), the mean variance of duration at half height (2.9 +/- 0.6 ms(2)) significantly lower (P < 0.0085).<br />Conclusions: This method shows promise for identification of triggering factors of AF.
Details
- Language :
- English
- ISSN :
- 1082-720X
- Volume :
- 12
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc
- Publication Type :
- Academic Journal
- Accession number :
- 17970956
- Full Text :
- https://doi.org/10.1111/j.1542-474X.2007.00180.x