DocumentCode :
3562332
Title :
Analysis of electrogram complexity during atrial fibrillation for ablation duration assessment
Author :
Kosna, Katarzyna ; Podziemski, Piotr ; Wilson, Lauren ; Stolcman, Simon ; Sanders, Prashanthan ; Gieraltowski, Jan ; Zebrowski, Jan J. ; Kuklik, Pawel
Author_Institution :
Fac. of Phys., Warsaw Univ. of Technol., Warsaw, Poland
fYear :
2014
Firstpage :
1121
Lastpage :
1124
Abstract :
The aim of this study was to assess the reliability of the complexity analysis of single electrogram as an estimator of the length of the ablation procedure necessary for AF termination. Left and right atrial endocardial bipolar electrograms were recorded during ablation procedure of AF in 27 patients. Up to 30 second electrogram samples were measured at baseline, after each stage of ablation (LP V, roof, CFAE etc.) and prior to termination. For each electrogram, algorithmic complexity was calculated. Electrograms had significantly lower algorithmic complexity for patients who had two or less ablation stages performed than for patients for whom more than two ablation stage was performed (p <; 0.001). ROC analysis showed 100% statistical sensitivity for 81% statistical specificity. These results show that algorithmic complexity increases with a number of ablation stages needed to terminate AF, which is related with the duration of the ablation procedure.
Keywords :
computational complexity; data analysis; diseases; electrocardiography; medical computing; radiation therapy; sensitivity analysis; statistical analysis; AF ablation duration assessment; AF termination; CFAE ablation stage; LP V ablation stage; ROC analysis; ablation procedure length estimator; ablation stage number; ablation termination; algorithmic complexity calculation; atrial fibrillation; baseline measurement; complexity analysis reliability assessment; endocardial bipolar electrogram recording; left atrial endocardial bipolar electrogram; right atrial endocardial bipolar electrogram; roof ablation stage; single electrogram complexity analysis; statistical sensitivity; statistical specificity; time 30 s; Abstracts; Algorithm design and analysis; Analysis of variance; Complexity theory; Physics;
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 :
7043244
Link To Document :
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