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

NC Castro; J Grimaldos; OJ Escalona; Vivek Kodoth; Ernest Lau; Ganesh Manoharan

doi:10.1109/Andescon.2012.51

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

NC Castro, J Grimaldos, OJ Escalona, Vivek Kodoth, Ernest Lau, Ganesh Manoharan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

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.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	IEEE Computer Society
Pages	191-194
Number of pages	4
ISBN (Print)	978-0-7695-4882-1/12
DOIs	https://doi.org/10.1109/Andescon.2012.51
Publication status	Published (in print/issue) - 15 Dec 2012
Event	IEEE Andean Region International Conference 2012 (Andescon 2012) - Cuenca, Ecuador Duration: 15 Dec 2012 → … http://andescon2012.org/index.php/congreso2012/andesconcuenca

Conference

Conference	IEEE Andean Region International Conference 2012 (Andescon 2012)
Period	15/12/12 → …
Internet address	http://andescon2012.org/index.php/congreso2012/andesconcuenca

Keywords

Atrial fibrillation
ECG
sample entropy
chaos
AF cardioversion
prediction
treatment outcome
cardiology.

Access to Document

10.1109/Andescon.2012.51

Cite this

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title = "Assessment of Atrial Fibrillation organization during Internal Electrical Cardioversion using Sample Entropy",

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.",

keywords = "Atrial fibrillation, ECG, sample entropy, chaos, AF cardioversion, prediction, treatment outcome, cardiology.",

author = "NC Castro and J Grimaldos and OJ Escalona and Vivek Kodoth and Ernest Lau and Ganesh Manoharan",

year = "2012",

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doi = "10.1109/Andescon.2012.51",

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Castro, NC, Grimaldos, J, Escalona, OJ, Kodoth, V, Lau, E & Manoharan, G 2012, Assessment of Atrial Fibrillation organization during Internal Electrical Cardioversion using Sample Entropy. in Unknown Host Publication. IEEE Computer Society, pp. 191-194, IEEE Andean Region International Conference 2012 (Andescon 2012), 15/12/12. https://doi.org/10.1109/Andescon.2012.51

TY - GEN

T1 - Assessment of Atrial Fibrillation organization during Internal Electrical Cardioversion using Sample Entropy

AU - Castro, NC

AU - Grimaldos, J

AU - Escalona, OJ

AU - Kodoth, Vivek

AU - Lau, Ernest

AU - Manoharan, Ganesh

PY - 2012/12/15

Y1 - 2012/12/15

N2 - 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.

AB - 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.

KW - Atrial fibrillation

KW - ECG

KW - sample entropy

KW - chaos

KW - AF cardioversion

KW - prediction

KW - treatment outcome

KW - cardiology.

UR - http://www.computer.org/portal/web/cspress/home

U2 - 10.1109/Andescon.2012.51

DO - 10.1109/Andescon.2012.51

M3 - Conference contribution

SN - 978-0-7695-4882-1/12

SP - 191

EP - 194

BT - Unknown Host Publication

PB - IEEE Computer Society

T2 - IEEE Andean Region International Conference 2012 (Andescon 2012)

Y2 - 15 December 2012

ER -

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

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Keywords

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