Fambuena-Santos, C.; Hernández-Romero, I.; Molero-Alabau, R.; Climent, AM.; Guillem Sánchez, MS. (2021). An evaluation on the clinical outcome prediction of rotor detection in non-invasive phase maps. 1-4. https://doi.org/10.22489/CinC.2021.251
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/191321
Title:
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An evaluation on the clinical outcome prediction of rotor detection in non-invasive phase maps
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Author:
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Fambuena-Santos, C.
Hernández-Romero, Ismael
Molero-Alabau, Rubén
Climent, Andreu M.
Guillem Sánchez, María Salud
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UPV Unit:
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Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació
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Issued date:
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Abstract:
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[EN] Phase maps obtained from Electrocardiographic
imaging (ECGI) have been used in the past for rotor
identification and ablation guidance in atrial fibrillation
(AF). In this study, we propose a new rotor detection
algorithm ...[+]
[EN] Phase maps obtained from Electrocardiographic
imaging (ECGI) have been used in the past for rotor
identification and ablation guidance in atrial fibrillation
(AF). In this study, we propose a new rotor detection
algorithm and evaluate its potential use for prediction of
pulmonary vein isolation (PVI) success.
The mean precision and recall of the algorithm were
evaluated by using manually annotated ECGI phase maps
and resulted in 0.82 and 0.75, respectively.
Phase singularities and rotors were then quantified on
ECGI signals from 29 patients prior to PVI.
A significantly higher concentration of phase
singularities (PSs) in the pulmonary veins in patients with
a successful PVI was found. Our results suggest that rotorrelated metrics obtained from ECGI derived phase maps
contain relevant information to predict clinical outcome in
PVI patients.
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Copyrigths:
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Reconocimiento (by)
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Source:
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Computing in cardiology. (issn:
2325-887X
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DOI:
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10.22489/CinC.2021.251
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Publisher version:
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https://www.cinc.org/archives/2021/
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Conference name:
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48th Computing in Cardiology Conference (CinC 2021)
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Conference place:
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Brno, Czech Republic
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Conference date:
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Septiembre 12-15,2021
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Project ID:
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info:eu-repo/grantAgreement/EC/H2020/860974/EU
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Thanks:
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This work was supported by PersonalizeAF project.
This project has received funding from the European Union's Horizon 2020 research and innovation program under the Marie Skodowska-Curie grant agreement No 860974.
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Type:
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Comunicación en congreso
Artículo
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