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. 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. 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). CONCLUSIONS: This method shows promise for identification of triggering factors of AF.
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. 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. 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). CONCLUSIONS: This method shows promise for identification of triggering factors of AF.
Authors: P E Dilaveris; E J Gialafos; S K Sideris; A M Theopistou; G K Andrikopoulos; M Kyriakidis; J E Gialafos; P K Toutouzas Journal: Am Heart J Date: 1998-05 Impact factor: 4.749
Authors: G H Almassi; T Schowalter; A C Nicolosi; A Aggarwal; T E Moritz; W G Henderson; R Tarazi; A L Shroyer; G K Sethi; F L Grover; K E Hammermeister Journal: Ann Surg Date: 1997-10 Impact factor: 12.969
Authors: P E Dilaveris; E J Gialafos; G K Andrikopoulos; D J Richter; V Papanikolaou; K Poralis; J E Gialafos Journal: Pacing Clin Electrophysiol Date: 2000-03 Impact factor: 1.976
Authors: W G Stevenson; L W Stevenson; H R Middlekauff; G C Fonarow; M A Hamilton; M A Woo; L A Saxon; P D Natterson; A Steimle; J A Walden; J H Tillisch Journal: J Am Coll Cardiol Date: 1996-11-15 Impact factor: 24.094
Authors: M Fukunami; T Yamada; M Ohmori; K Kumagai; K Umemoto; A Sakai; N Kondoh; T Minamino; N Hoki Journal: Circulation Date: 1991-01 Impact factor: 29.690