Optimizing Multiscale Entropy Approach for Rotor Core Identification using Simulated Intracardiac Electrograms

Vasanth Ravikumar; Elena G. Tolkacheva

doi:10.1109/EMBC44109.2020.9175773

Optimizing Multiscale Entropy Approach for Rotor Core Identification using Simulated Intracardiac Electrograms

Vasanth Ravikumar, Elena G. Tolkacheva

Biomedical Engineering

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

1 Scopus citations

Abstract

Atrial Fibrillation (AF) is most common sustained cardiac arrhythmia and a precursor to many fatal cardiac conditions. Catheter ablation, which is a minimally invasive treatment, is associated with limited success rates in patients with persistent AF. Rotors are believed to maintain AF and core of rotors are considered to be robust targets for ablation. Recently, multiscale entropy (MSE) was proposed to identify the core of rotors in ex-vivo rabbit hearts. However, MSE technique is sensitive to intrinsic parameters, such as scale factor and template dimension, that may lead to an imprecise estimation of entropy measures. The purpose of this research is optimize MSE approach to improve its accuracy and sensitivity in rotor core identification using simulated EGMs from human atrial model. Specifically, we have identified the optimal time scale factor (τopt) and optimal template dimension (Τopt) that are needed for efficient rotor core identification. The τopt was identified to be 10, using a convergence graph, and the Τopt (~20 ms) remained the same at different sampling rates, indicating that optimized MSE will be efficient in identifying core of the rotor irrespective of the signal acquisition system.

Original language	English (US)
Title of host publication	42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society
Subtitle of host publication	Enabling Innovative Technologies for Global Healthcare, EMBC 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	414-417
Number of pages	4
Volume	2020
ISBN (Electronic)	9781728119908
DOIs	https://doi.org/10.1109/EMBC44109.2020.9175773
State	Published - Jul 2020
Event	42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020 - Montreal, Canada Duration: Jul 20 2020 → Jul 24 2020

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume	2020-July
ISSN (Print)	1557-170X

Conference

Conference	42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020
Country/Territory	Canada
City	Montreal
Period	7/20/20 → 7/24/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

Atrial Fibrillation
Multiscale Entropy
Rotor
Rabbits
Atrial Fibrillation/surgery
Animals
Heart Atria
Humans
Catheter Ablation
Entropy
Electrophysiologic Techniques, Cardiac

PubMed: MeSH publication types

Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Journal Article

Publisher link

10.1109/EMBC44109.2020.9175773

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Ravikumar, V., & Tolkacheva, E. G. (2020). Optimizing Multiscale Entropy Approach for Rotor Core Identification using Simulated Intracardiac Electrograms. In 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society: Enabling Innovative Technologies for Global Healthcare, EMBC 2020 (Vol. 2020, pp. 414-417). Article 9175773 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2020-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC44109.2020.9175773

Optimizing Multiscale Entropy Approach for Rotor Core Identification using Simulated Intracardiac Electrograms. / Ravikumar, Vasanth; Tolkacheva, Elena G.
42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society: Enabling Innovative Technologies for Global Healthcare, EMBC 2020. Vol. 2020 Institute of Electrical and Electronics Engineers Inc., 2020. p. 414-417 9175773 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2020-July).

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

Ravikumar, V & Tolkacheva, EG 2020, Optimizing Multiscale Entropy Approach for Rotor Core Identification using Simulated Intracardiac Electrograms. in 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society: Enabling Innovative Technologies for Global Healthcare, EMBC 2020. vol. 2020, 9175773, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, vol. 2020-July, Institute of Electrical and Electronics Engineers Inc., pp. 414-417, 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020, Montreal, Canada, 7/20/20. https://doi.org/10.1109/EMBC44109.2020.9175773

Ravikumar V, Tolkacheva EG. Optimizing Multiscale Entropy Approach for Rotor Core Identification using Simulated Intracardiac Electrograms. In 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society: Enabling Innovative Technologies for Global Healthcare, EMBC 2020. Vol. 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 414-417. 9175773. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/EMBC44109.2020.9175773

Ravikumar, Vasanth ; Tolkacheva, Elena G. / Optimizing Multiscale Entropy Approach for Rotor Core Identification using Simulated Intracardiac Electrograms. 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society: Enabling Innovative Technologies for Global Healthcare, EMBC 2020. Vol. 2020 Institute of Electrical and Electronics Engineers Inc., 2020. pp. 414-417 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

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AB - Atrial Fibrillation (AF) is most common sustained cardiac arrhythmia and a precursor to many fatal cardiac conditions. Catheter ablation, which is a minimally invasive treatment, is associated with limited success rates in patients with persistent AF. Rotors are believed to maintain AF and core of rotors are considered to be robust targets for ablation. Recently, multiscale entropy (MSE) was proposed to identify the core of rotors in ex-vivo rabbit hearts. However, MSE technique is sensitive to intrinsic parameters, such as scale factor and template dimension, that may lead to an imprecise estimation of entropy measures. The purpose of this research is optimize MSE approach to improve its accuracy and sensitivity in rotor core identification using simulated EGMs from human atrial model. Specifically, we have identified the optimal time scale factor (τopt) and optimal template dimension (Τopt) that are needed for efficient rotor core identification. The τopt was identified to be 10, using a convergence graph, and the Τopt (~20 ms) remained the same at different sampling rates, indicating that optimized MSE will be efficient in identifying core of the rotor irrespective of the signal acquisition system.

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Optimizing Multiscale Entropy Approach for Rotor Core Identification using Simulated Intracardiac Electrograms

Abstract

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Bibliographical note

Keywords

PubMed: MeSH publication types

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