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An interactive platform to guide catheter ablation in human persistent atrial fibrillation using dominant frequency, organization and phase mapping

An interactive platform to guide catheter ablation in human persistent atrial fibrillation using dominant frequency, organization and phase mapping
An interactive platform to guide catheter ablation in human persistent atrial fibrillation using dominant frequency, organization and phase mapping
Background and Objective: Optimal targets for persistent atrial fibrillation (persAF) ablation are still debated. Atrial regions hosting high dominant frequency (HDF) are believed to participate in the initiation and maintenance of persAF and hence are potential targets for ablation, while rotor ablation has shown promising initial results. Currently, no commercially available system offers the capability to automatically identify both these phenomena. This paper describes an integrated 3D software platform combining the mapping of both frequency spectrum and phase from atrial electrograms (AEGs) to help guide persAF ablation in clinical cardiac electrophysiological studies.

Methods: 30 s of 2048 non-contact AEGs (EnSite Array, St. Jude Medical) were collected and analyzed per patient. After QRST removal, the AEGs were divided into 4 s windows with a 50% overlap. Fast Fourier transform was used for DF identification. HDF areas were identified as the maximum DF to 0.25 Hz below that, and their centers of gravity (CGs) were used to track their spatiotemporal movement. Spectral organization measurements were estimated. Hilbert transform was used to calculate instantaneous phase.

Results: The system was successfully used to guide catheter ablation for 10 persAF patients. The mean processing time was 10.4?±?1.5 min, which is adequate comparing to the normal electrophysiological (EP) procedure time (120?180 min).

Conclusions: A customized software platform capable of measuring different forms of spatiotemporal AEG analysis was implemented and used in clinical environment to guide persAF ablation. The modular nature of the platform will help electrophysiological studies in understanding of the underlying AF mechanisms.
0169-2607
83-92
Li, Xin
50870cd7-3ec3-434e-a43a-b10d50e3d5b3
Salinet, Joao L.
ebc0f6e0-1c08-4926-8551-55840e040ec4
Almeida, Tiago P.
67476112-f094-4f2f-968b-d202733a1c5c
Vanheusden, Frederique
c3022456-907d-4dfa-b537-b3fbc119d76b
Chu, Gavin S.
188de434-1cda-42d3-9d3d-66c7daffcac0
Ng, G. Andre
c4e37af0-74bb-4aa3-9850-a963f4785912
Schlindwein, Fernando S.
2f035505-2b0b-46da-aae4-e2c4dea4de71
Li, Xin
50870cd7-3ec3-434e-a43a-b10d50e3d5b3
Salinet, Joao L.
ebc0f6e0-1c08-4926-8551-55840e040ec4
Almeida, Tiago P.
67476112-f094-4f2f-968b-d202733a1c5c
Vanheusden, Frederique
c3022456-907d-4dfa-b537-b3fbc119d76b
Chu, Gavin S.
188de434-1cda-42d3-9d3d-66c7daffcac0
Ng, G. Andre
c4e37af0-74bb-4aa3-9850-a963f4785912
Schlindwein, Fernando S.
2f035505-2b0b-46da-aae4-e2c4dea4de71

Li, Xin, Salinet, Joao L., Almeida, Tiago P., Vanheusden, Frederique, Chu, Gavin S., Ng, G. Andre and Schlindwein, Fernando S. (2017) An interactive platform to guide catheter ablation in human persistent atrial fibrillation using dominant frequency, organization and phase mapping. Computer Methods and Programs in Biomedicine, 141, 83-92. (doi:10.1016/j.cmpb.2017.01.011).

Record type: Article

Abstract

Background and Objective: Optimal targets for persistent atrial fibrillation (persAF) ablation are still debated. Atrial regions hosting high dominant frequency (HDF) are believed to participate in the initiation and maintenance of persAF and hence are potential targets for ablation, while rotor ablation has shown promising initial results. Currently, no commercially available system offers the capability to automatically identify both these phenomena. This paper describes an integrated 3D software platform combining the mapping of both frequency spectrum and phase from atrial electrograms (AEGs) to help guide persAF ablation in clinical cardiac electrophysiological studies.

Methods: 30 s of 2048 non-contact AEGs (EnSite Array, St. Jude Medical) were collected and analyzed per patient. After QRST removal, the AEGs were divided into 4 s windows with a 50% overlap. Fast Fourier transform was used for DF identification. HDF areas were identified as the maximum DF to 0.25 Hz below that, and their centers of gravity (CGs) were used to track their spatiotemporal movement. Spectral organization measurements were estimated. Hilbert transform was used to calculate instantaneous phase.

Results: The system was successfully used to guide catheter ablation for 10 persAF patients. The mean processing time was 10.4?±?1.5 min, which is adequate comparing to the normal electrophysiological (EP) procedure time (120?180 min).

Conclusions: A customized software platform capable of measuring different forms of spatiotemporal AEG analysis was implemented and used in clinical environment to guide persAF ablation. The modular nature of the platform will help electrophysiological studies in understanding of the underlying AF mechanisms.

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Accepted/In Press date: 17 January 2017
e-pub ahead of print date: 25 January 2017
Published date: April 2017
Organisations: Human Sciences Group

Identifiers

Local EPrints ID: 405306
URI: http://eprints.soton.ac.uk/id/eprint/405306
ISSN: 0169-2607
PURE UUID: c2427c39-4a51-43bb-bbf2-e8d4c2772ad2
ORCID for Frederique Vanheusden: ORCID iD orcid.org/0000-0003-2369-6189

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Date deposited: 02 Feb 2017 13:51
Last modified: 15 Mar 2024 06:17

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Contributors

Author: Xin Li
Author: Joao L. Salinet
Author: Tiago P. Almeida
Author: Frederique Vanheusden ORCID iD
Author: Gavin S. Chu
Author: G. Andre Ng
Author: Fernando S. Schlindwein

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