Rotor pivot point identification using recurrence period density entropy

Shivaram P. Arunachalam, Suraj Kapa, Siva Mulpuru, Paul Andrew Friedman, Elena G. Tolkacheva

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Catheter ablation to terminate atrial fibrillation (AF), a most common cardiac arrhythmia has been shown to be successful for paroxysmal AF patients. However, limitations exist with inadequate cardiac mapping systems for persistent AF patients to identify active substrates outside the pulmonary vein region. Previously, Shannon Entropy (SE) based mapping approach was proposed to identify regions of high SE and to generate patient specific three-dimensional SE maps using current catheter mapping system. However, the exact location of the pivot point of the rotor has not been correctly identified using this approach. In this work, we present robust recurrence period density entropy (RPDE) based approach accurately identify pivot point of the rotors that were induced in ex-vivo isolated rabbit heart. Our results demonstrate the efficacy of the RPDE approach to precisely identify the pivot point of the rotor, and to provide a better contrast between the rotor core and the periphery region when compared to SE approach. The results motivate further application and validation of this technology using intra-atrial electrograms from paroxysmal and persistent AF patients aiming to accurately identify the location of the rotor pivot point.

Original languageEnglish (US)
Title of host publication54th Annual Rocky Mountain Bioengineering Symposium, RMBS 2017 and 54th International ISA Biomedical Sciences Instrumentation Symposium 2017
PublisherInternational Society of Automation (ISA)
Volume2017-March
ISBN (Electronic)9781945541193
StatePublished - Jan 1 2017
Event54th Annual Rocky Mountain Bioengineering Symposium, RMBS 2017 and 54th International ISA Biomedical Sciences Instrumentation Symposium 2017 - Denver, United States
Duration: Mar 31 2017Apr 1 2017

Other

Other54th Annual Rocky Mountain Bioengineering Symposium, RMBS 2017 and 54th International ISA Biomedical Sciences Instrumentation Symposium 2017
CountryUnited States
CityDenver
Period3/31/174/1/17

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Keywords

  • Atrial fibrillation
  • Cardiac arrhythmia
  • Cardiac mapping
  • Recurrence period density entropy
  • Rotor

ASJC Scopus subject areas

  • Bioengineering
  • Instrumentation
  • Biotechnology
  • Biomedical Engineering

Cite this

Arunachalam, S. P., Kapa, S., Mulpuru, S., Friedman, P. A., & Tolkacheva, E. G. (2017). Rotor pivot point identification using recurrence period density entropy. In 54th Annual Rocky Mountain Bioengineering Symposium, RMBS 2017 and 54th International ISA Biomedical Sciences Instrumentation Symposium 2017 (Vol. 2017-March). International Society of Automation (ISA).