Catheter Ablation Outcome Prediction in Persistent Atrial Fibrillation Based on Spatio-Temporal Complexity Measures of the Surface ECG

Abstract : Radiofrequency catheter ablation (CA) is increas- ingly employed to treat atrial fibrillation (AF), yet se- lection of patients who would actually benefit from this therapy still remains an open issue. The present work introduces some non-invasive quantitative parameters to discriminate between successful and failing CA pro- cedures by exploiting the spatial diversity of the 12-lead surface ECG. They are based on the normalized mean square error (NMSE) between consecutive atrial ac- tivity ECG signal segments and their rank-n approx- imations determined by principal component analy- sis. As opposed to the single-lead approach of previous works, we consider NMSE values computed on more than one lead. One such multilead-based parameter is able to distinguish between successful and failing abla- tions before performing the procedure with AUC=0.86, p value=7*10−5. This study demonstrates that the pro- posed multilead parameters can effectively predict CA outcome and potentially contribute to more accurate patient selection strategies for this AF therapy.
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Communication dans un congrès
Computing in Cardiology, 2011, Hangzhou, China. pp.261-265, 2011
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https://hal.archives-ouvertes.fr/hal-00635740
Contributeur : Olivier Meste <>
Soumis le : mardi 25 octobre 2011 - 17:59:51
Dernière modification le : vendredi 6 juillet 2012 - 18:37:27

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  • HAL Id : hal-00635740, version 1

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Marianna Meo, Vicente Zarzoso, Olivier Meste, Decebal Gabriel Latcu, Nadir Saoudi. Catheter Ablation Outcome Prediction in Persistent Atrial Fibrillation Based on Spatio-Temporal Complexity Measures of the Surface ECG. Computing in Cardiology, 2011, Hangzhou, China. pp.261-265, 2011. 〈hal-00635740〉

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