DocumentCode :
3562255
Title :
A novel P-wave duration estimation method to assess the impact of the hybrid procedure for atrial fibrillation ablation
Author :
Bonizzi, Pietro ; Kumar, Narendra ; Zeemering, Stef ; Peeters, Ralf L. M. ; Pison, Laurent
Author_Institution :
Dept. of Knowledge Eng., Maastricht Univ., Maastricht, Netherlands
fYear :
2014
Firstpage :
813
Lastpage :
816
Abstract :
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.
Keywords :
Gaussian processes; bioelectric potentials; electrocardiography; mean square error methods; medical disorders; AF therapy; P-wave duration; P-wave morphology; PWD estimation method; atrial fibrillation ablation; electrocardiography; half-Gaussian functions; hybrid procedure effect; normalized mean square error; single Gaussian model; Cardiology; Educational institutions; Electrocardiography; Morphology; Rhythm; Standards;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing in Cardiology Conference (CinC), 2014
ISSN :
2325-8861
Print_ISBN :
978-1-4799-4346-3
Type :
conf
Filename :
7043167
Link To Document :
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