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Assessment of Atrial Fibrillation organization during Internal Electrical Cardioversion using Sample Entropy

Castro, NC, Grimaldos, J, Escalona, OJ, Kodoth, Vivek, Lau, Ernest and Manoharan, Ganesh (2012) Assessment of Atrial Fibrillation organization during Internal Electrical Cardioversion using Sample Entropy. In: IEEE Andean Region International Conference 2012 (Andescon 2012), Cuenca, Ecuador. IEEE Computer Society. 4 pp. [Conference contribution]

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DOI: 10.1109/Andescon.2012.51

Abstract

Predicting non-invasively the effectiveness of a shock on Internal Electrical Cardioversion (IECV) is clinically relevant to enhance step-up voltage protocols in the treatment of Persistent Atrial Fibrillation (PAF). The present study assess the ability of a non-linear index, such as sample entropy (SampEn), to follow-up noninvasively AF organization undersuccessive attempts of IECV and to predict the effectiveness of every single shock. Results showed a SampEn significant difference just after the first attempt in successful vs unsuccessful patients (0.0398 ± 0.0139) vs. (0.0608 ± 0.0221) p = 0.0094; indicating that probably first shock plays the most important role in the procedure.

Item Type:Conference contribution (Paper)
Keywords:Atrial fibrillation, ECG, sample entropy, chaos, AF cardioversion, prediction, treatment outcome, cardiology.
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Engineering
Research Institutes and Groups:Engineering Research Institute
Engineering Research Institute > Nanotechnology & Integrated BioEngineering Centre (NIBEC)
ID Code:26011
Deposited By: Professor Omar Escalona
Deposited On:14 May 2013 13:07
Last Modified:14 May 2013 13:07

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