Kurtosis as a statistical approach to identify the pivot point of the rotor

Shivaram P. Arunachalam, Elizabeth M. Annoni, Siva K. Mulpuru, Paul A. Friedman, Elena G. Tolkacheva

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

1 Citation (Scopus)

Abstract

Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia that causes stroke affecting more than 2.3 million people in the US. Catheter ablation to terminate AF is successful for paroxysmal AF but suffers limitations with persistent AF patients as current mapping methods cannot identify AF active substrates outside of pulmonary vein region. In this work, we developed a novel Kurtosis based mapping technique that can accurately identify pivot points of the rotors that were induced in ex-vivo isolated rabbit heart. The results indicate that the chaotic nature of rotor pivot point results in higher Kurtosis compared to the periphery thereby enabling its accurate identification. Our results suggest that Kurtosis technique can be further applied to intra-atrial electrograms from AF patients with rotors to accurately identify the rotor pivot point by generating 3-dimensional (3D) patient-specific Kurtosis maps. Validation of this new Kurtosis based mapping technology is required through clinical studies with both paroxysmal and persistent AF patient data.

Original languageEnglish (US)
Title of host publication2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages497-500
Number of pages4
Volume2016-October
ISBN (Electronic)9781457702204
DOIs
StatePublished - Oct 13 2016
Event38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Orlando, United States
Duration: Aug 16 2016Aug 20 2016

Other

Other38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
CountryUnited States
CityOrlando
Period8/16/168/20/16

Fingerprint

Atrial Fibrillation
Rotors
Catheters
Ablation
Cardiac Electrophysiologic Techniques
Catheter Ablation
Pulmonary Veins
Substrates
Cardiac Arrhythmias
Stroke
Rabbits
Technology

Cite this

Arunachalam, S. P., Annoni, E. M., Mulpuru, S. K., Friedman, P. A., & Tolkacheva, E. G. (2016). Kurtosis as a statistical approach to identify the pivot point of the rotor. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 (Vol. 2016-October, pp. 497-500). [7590748] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2016.7590748

Kurtosis as a statistical approach to identify the pivot point of the rotor. / Arunachalam, Shivaram P.; Annoni, Elizabeth M.; Mulpuru, Siva K.; Friedman, Paul A.; Tolkacheva, Elena G.

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Vol. 2016-October Institute of Electrical and Electronics Engineers Inc., 2016. p. 497-500 7590748.

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

Arunachalam, SP, Annoni, EM, Mulpuru, SK, Friedman, PA & Tolkacheva, EG 2016, Kurtosis as a statistical approach to identify the pivot point of the rotor. in 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. vol. 2016-October, 7590748, Institute of Electrical and Electronics Engineers Inc., pp. 497-500, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016, Orlando, United States, 8/16/16. https://doi.org/10.1109/EMBC.2016.7590748
Arunachalam SP, Annoni EM, Mulpuru SK, Friedman PA, Tolkacheva EG. Kurtosis as a statistical approach to identify the pivot point of the rotor. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Vol. 2016-October. Institute of Electrical and Electronics Engineers Inc. 2016. p. 497-500. 7590748 https://doi.org/10.1109/EMBC.2016.7590748
Arunachalam, Shivaram P. ; Annoni, Elizabeth M. ; Mulpuru, Siva K. ; Friedman, Paul A. ; Tolkacheva, Elena G. / Kurtosis as a statistical approach to identify the pivot point of the rotor. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Vol. 2016-October Institute of Electrical and Electronics Engineers Inc., 2016. pp. 497-500
@inproceedings{5555296a72ce43dfb2387a43af015325,
title = "Kurtosis as a statistical approach to identify the pivot point of the rotor",
abstract = "Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia that causes stroke affecting more than 2.3 million people in the US. Catheter ablation to terminate AF is successful for paroxysmal AF but suffers limitations with persistent AF patients as current mapping methods cannot identify AF active substrates outside of pulmonary vein region. In this work, we developed a novel Kurtosis based mapping technique that can accurately identify pivot points of the rotors that were induced in ex-vivo isolated rabbit heart. The results indicate that the chaotic nature of rotor pivot point results in higher Kurtosis compared to the periphery thereby enabling its accurate identification. Our results suggest that Kurtosis technique can be further applied to intra-atrial electrograms from AF patients with rotors to accurately identify the rotor pivot point by generating 3-dimensional (3D) patient-specific Kurtosis maps. Validation of this new Kurtosis based mapping technology is required through clinical studies with both paroxysmal and persistent AF patient data.",
author = "Arunachalam, {Shivaram P.} and Annoni, {Elizabeth M.} and Mulpuru, {Siva K.} and Friedman, {Paul A.} and Tolkacheva, {Elena G.}",
year = "2016",
month = "10",
day = "13",
doi = "10.1109/EMBC.2016.7590748",
language = "English (US)",
volume = "2016-October",
pages = "497--500",
booktitle = "2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Kurtosis as a statistical approach to identify the pivot point of the rotor

AU - Arunachalam, Shivaram P.

AU - Annoni, Elizabeth M.

AU - Mulpuru, Siva K.

AU - Friedman, Paul A.

AU - Tolkacheva, Elena G.

PY - 2016/10/13

Y1 - 2016/10/13

N2 - Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia that causes stroke affecting more than 2.3 million people in the US. Catheter ablation to terminate AF is successful for paroxysmal AF but suffers limitations with persistent AF patients as current mapping methods cannot identify AF active substrates outside of pulmonary vein region. In this work, we developed a novel Kurtosis based mapping technique that can accurately identify pivot points of the rotors that were induced in ex-vivo isolated rabbit heart. The results indicate that the chaotic nature of rotor pivot point results in higher Kurtosis compared to the periphery thereby enabling its accurate identification. Our results suggest that Kurtosis technique can be further applied to intra-atrial electrograms from AF patients with rotors to accurately identify the rotor pivot point by generating 3-dimensional (3D) patient-specific Kurtosis maps. Validation of this new Kurtosis based mapping technology is required through clinical studies with both paroxysmal and persistent AF patient data.

AB - Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia that causes stroke affecting more than 2.3 million people in the US. Catheter ablation to terminate AF is successful for paroxysmal AF but suffers limitations with persistent AF patients as current mapping methods cannot identify AF active substrates outside of pulmonary vein region. In this work, we developed a novel Kurtosis based mapping technique that can accurately identify pivot points of the rotors that were induced in ex-vivo isolated rabbit heart. The results indicate that the chaotic nature of rotor pivot point results in higher Kurtosis compared to the periphery thereby enabling its accurate identification. Our results suggest that Kurtosis technique can be further applied to intra-atrial electrograms from AF patients with rotors to accurately identify the rotor pivot point by generating 3-dimensional (3D) patient-specific Kurtosis maps. Validation of this new Kurtosis based mapping technology is required through clinical studies with both paroxysmal and persistent AF patient data.

UR - http://www.scopus.com/inward/record.url?scp=85009151674&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85009151674&partnerID=8YFLogxK

U2 - 10.1109/EMBC.2016.7590748

DO - 10.1109/EMBC.2016.7590748

M3 - Conference contribution

C2 - 28268379

AN - SCOPUS:85009151674

VL - 2016-October

SP - 497

EP - 500

BT - 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

ER -