TY - JOUR
T1 - A Novel P-wave Duration Estimation Method to Assess the Impact of the Hybrid Procedure for Atrial Fibrillation Ablation
AU - Bonizzi, Pietro
AU - Kumar, Narendra
AU - Zeemering, Stef
AU - Peeters, Ralf
AU - Pison, Laurent
PY - 2014
Y1 - 2014
N2 - Changes in P wave duration (PWD) following atrial fibrillation (AF) ablation have been described and may have diagnostic value. PWD is usually assessed manually from ECG. This study aimed at exploring a novel method for automated modeling of the P-wave and assessment of PWD. Moreover, it aimed at investigating the effect of hybrid procedure (HP) for AF treatment on PWD. P-wave modeling is achieved by means of a concatenation of two half-Gaussian functions, to account for potential left and right asymmetries in the P-wave morphology. When compared with a single Gaussian model, the method showed better fitting in terms of normalized mean square error (NMSE& 0.14 +/- 0.07 vs. 0.28 +/- 0.11, p < 10(-4)). When investigating the effect of HP on PWD, results showed that PWD was significantly decreased after procedure (111.49 +/- 23.29 ms vs. 96.27 +/- 30.28 ms, p = 0.0319). PWD pre-procedure, was significantly higher in persistent patients than in paroxysmal patients (126.85 +/- 15.50 ms vs. 106.70 +/- 23.82, p < 0.0272). Automated analysis of P wave from ECG to extract PWD is possible. Results at 9 month follow-up suggest that selection of patients may be possible before procedure to individualize AF therapy.
AB - Changes in P wave duration (PWD) following atrial fibrillation (AF) ablation have been described and may have diagnostic value. PWD is usually assessed manually from ECG. This study aimed at exploring a novel method for automated modeling of the P-wave and assessment of PWD. Moreover, it aimed at investigating the effect of hybrid procedure (HP) for AF treatment on PWD. P-wave modeling is achieved by means of a concatenation of two half-Gaussian functions, to account for potential left and right asymmetries in the P-wave morphology. When compared with a single Gaussian model, the method showed better fitting in terms of normalized mean square error (NMSE& 0.14 +/- 0.07 vs. 0.28 +/- 0.11, p < 10(-4)). When investigating the effect of HP on PWD, results showed that PWD was significantly decreased after procedure (111.49 +/- 23.29 ms vs. 96.27 +/- 30.28 ms, p = 0.0319). PWD pre-procedure, was significantly higher in persistent patients than in paroxysmal patients (126.85 +/- 15.50 ms vs. 106.70 +/- 23.82, p < 0.0272). Automated analysis of P wave from ECG to extract PWD is possible. Results at 9 month follow-up suggest that selection of patients may be possible before procedure to individualize AF therapy.
M3 - Conference article in journal
SN - 2325-8861
VL - 41
SP - 813
EP - 816
JO - Computing in Cardiology Conference
JF - Computing in Cardiology Conference
IS - January
ER -