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.
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
April 2017
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, .
(doi:10.1016/j.cmpb.2017.01.011).
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.
Text
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- Accepted Manuscript
More information
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
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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
Author:
Gavin S. Chu
Author:
G. Andre Ng
Author:
Fernando S. Schlindwein
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