Developing an Iterative Tracking Algorithm to Guide a Catheter Towards Atrial Fibrillation Rotor Sources in Simulated Fibrotic Tissue

Prasanth Ganesan; Hussein Zilouchian; Elizabeth M. Cherry; Arkady M. Pertsov; Behnaz Ghoraani

doi:10.22489/CinC.2018.129

Developing an Iterative Tracking Algorithm to Guide a Catheter Towards Atrial Fibrillation Rotor Sources in Simulated Fibrotic Tissue

Prasanth Ganesan
, Hussein Zilouchian
, Elizabeth M. Cherry
, Arkady M. Pertsov
, Behnaz Ghoraani

Pharmacology

Upstate Medical University

Florida Atlantic University
Rochester Institute of Technology

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

Abstract

Locating atrial fibrillation (AF) rotor sources can help target ablation therapy for AF. Our aim was to develop a catheter-tracking algorithm to locate AF rotor sources using a conventional 20-electrode circular catheter. We simulated rotor-driven arrhythmias in homogeneous and fibrotic human atrial tissue and evaluated the algorithm for different initial catheter positions. The algorithm guided and detected a rotor with a success rate of greater than 97.9% independently of the initial position of the catheter with an accuracy of greater than 2.3 ± 1.4 mm.

Original language	English
Title of host publication	Computing in Cardiology Conference, CinC 2018
Publisher	IEEE Computer Society
ISBN (Electronic)	9781728109589
DOIs	https://doi.org/10.22489/CinC.2018.129
State	Published - Sep 2018
Event	45th Computing in Cardiology Conference, CinC 2018 - Maastricht, Netherlands Duration: Sep 23 2018 → Sep 26 2018

Publication series

Name	Computing in Cardiology
Volume	2018-September

Conference

Conference	45th Computing in Cardiology Conference, CinC 2018
Country/Territory	Netherlands
City	Maastricht
Period	09/23/18 → 09/26/18

Access to Document

10.22489/CinC.2018.129

Cite this

Ganesan, P., Zilouchian, H., Cherry, E. M., Pertsov, A. M., & Ghoraani, B. (2018). Developing an Iterative Tracking Algorithm to Guide a Catheter Towards Atrial Fibrillation Rotor Sources in Simulated Fibrotic Tissue. In Computing in Cardiology Conference, CinC 2018 Article 8743724 (Computing in Cardiology; Vol. 2018-September). IEEE Computer Society. https://doi.org/10.22489/CinC.2018.129

@inproceedings{cbffd5f4e03d4a9f8e0e05a9d92d39c6,

title = "Developing an Iterative Tracking Algorithm to Guide a Catheter Towards Atrial Fibrillation Rotor Sources in Simulated Fibrotic Tissue",

abstract = "Locating atrial fibrillation (AF) rotor sources can help target ablation therapy for AF. Our aim was to develop a catheter-tracking algorithm to locate AF rotor sources using a conventional 20-electrode circular catheter. We simulated rotor-driven arrhythmias in homogeneous and fibrotic human atrial tissue and evaluated the algorithm for different initial catheter positions. The algorithm guided and detected a rotor with a success rate of greater than 97.9\% independently of the initial position of the catheter with an accuracy of greater than 2.3 ± 1.4 mm.",

author = "Prasanth Ganesan and Hussein Zilouchian and Cherry, \{Elizabeth M.\} and Pertsov, \{Arkady M.\} and Behnaz Ghoraani",

note = "Publisher Copyright: {\textcopyright} 2018 Creative Commons Attribution.; 45th Computing in Cardiology Conference, CinC 2018 ; Conference date: 23-09-2018 Through 26-09-2018",

year = "2018",

month = sep,

doi = "10.22489/CinC.2018.129",

language = "English",

series = "Computing in Cardiology",

publisher = "IEEE Computer Society",

booktitle = "Computing in Cardiology Conference, CinC 2018",

}

Ganesan, P, Zilouchian, H, Cherry, EM, Pertsov, AM & Ghoraani, B 2018, Developing an Iterative Tracking Algorithm to Guide a Catheter Towards Atrial Fibrillation Rotor Sources in Simulated Fibrotic Tissue. in Computing in Cardiology Conference, CinC 2018., 8743724, Computing in Cardiology, vol. 2018-September, IEEE Computer Society, 45th Computing in Cardiology Conference, CinC 2018, Maastricht, Netherlands, 09/23/18. https://doi.org/10.22489/CinC.2018.129

Developing an Iterative Tracking Algorithm to Guide a Catheter Towards Atrial Fibrillation Rotor Sources in Simulated Fibrotic Tissue. / Ganesan, Prasanth; Zilouchian, Hussein; Cherry, Elizabeth M. et al.
Computing in Cardiology Conference, CinC 2018. IEEE Computer Society, 2018. 8743724 (Computing in Cardiology; Vol. 2018-September).

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

TY - GEN

T1 - Developing an Iterative Tracking Algorithm to Guide a Catheter Towards Atrial Fibrillation Rotor Sources in Simulated Fibrotic Tissue

AU - Ganesan, Prasanth

AU - Zilouchian, Hussein

AU - Cherry, Elizabeth M.

AU - Pertsov, Arkady M.

AU - Ghoraani, Behnaz

PY - 2018/9

Y1 - 2018/9

N2 - Locating atrial fibrillation (AF) rotor sources can help target ablation therapy for AF. Our aim was to develop a catheter-tracking algorithm to locate AF rotor sources using a conventional 20-electrode circular catheter. We simulated rotor-driven arrhythmias in homogeneous and fibrotic human atrial tissue and evaluated the algorithm for different initial catheter positions. The algorithm guided and detected a rotor with a success rate of greater than 97.9% independently of the initial position of the catheter with an accuracy of greater than 2.3 ± 1.4 mm.

AB - Locating atrial fibrillation (AF) rotor sources can help target ablation therapy for AF. Our aim was to develop a catheter-tracking algorithm to locate AF rotor sources using a conventional 20-electrode circular catheter. We simulated rotor-driven arrhythmias in homogeneous and fibrotic human atrial tissue and evaluated the algorithm for different initial catheter positions. The algorithm guided and detected a rotor with a success rate of greater than 97.9% independently of the initial position of the catheter with an accuracy of greater than 2.3 ± 1.4 mm.

UR - https://www.scopus.com/pages/publications/85068751382

U2 - 10.22489/CinC.2018.129

DO - 10.22489/CinC.2018.129

M3 - Conference contribution

T3 - Computing in Cardiology

BT - Computing in Cardiology Conference, CinC 2018

PB - IEEE Computer Society

T2 - 45th Computing in Cardiology Conference, CinC 2018

Y2 - 23 September 2018 through 26 September 2018

ER -

Developing an Iterative Tracking Algorithm to Guide a Catheter Towards Atrial Fibrillation Rotor Sources in Simulated Fibrotic Tissue

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