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Validating defibrillation simulation in a human-shaped phantom.
Tate, Jess D; Pilcher, Thomas A; Aras, Kedar K; Burton, Brett M; MacLeod, Rob S.
Afiliación
  • Tate JD; Department of Biomedical Engineering, University of Utah, Salt Lake City, Utah; Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah. Electronic address: jess@sci.utah.edu.
  • Pilcher TA; Division of Pediatric Cardiology, University of Utah, Salt Lake City, Utah.
  • Aras KK; Department of Biomedical Engineering, University of Utah, Salt Lake City, Utah; Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah.
  • Burton BM; Department of Biomedical Engineering, University of Utah, Salt Lake City, Utah; Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah.
  • MacLeod RS; Department of Biomedical Engineering, University of Utah, Salt Lake City, Utah; Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah.
Heart Rhythm ; 17(4): 661-668, 2020 04.
Article en En | MEDLINE | ID: mdl-31765807
BACKGROUND: We previously developed a computational model to aid clinicians in positioning implantable cardioverter-defibrillators (ICDs), especially in the case of abnormal anatomies that commonly arise in pediatric cases. We have validated the model clinically on the body surface; however, validation within the volume of the heart is required to establish complete confidence in the model and improve its use in clinical settings. OBJECTIVE: The goal of this study was to use an animal model and thoracic phantom to record the ICD potential field within the heart and on the torso to validate our defibrillation simulation system. METHODS: We recorded defibrillator shock potentials from an ICD suspended together with an animal heart in a human-shaped torso tank and compared them with simulated values. We also compared the scaled distribution threshold, an analog to the defibrillation threshold, calculated from the measured and simulated electric fields within the myocardium. RESULTS: ICD potentials recorded on the tank and cardiac surface and within the myocardium agreed well with those predicted by the simulation. A quantitative comparison of the recorded and simulated potentials yielded a mean correlation of 0.94 and a relative error of 19.1%. The simulation can also predict scaled distribution thresholds similar to those calculated from the measured potential fields. CONCLUSION: We found that our simulation could predict potential fields with high correlation with the measured values within the heart and on the torso surface. These results support the use of this model for the optimization of ICD placements.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fibrilación Ventricular / Simulación por Computador / Cardioversión Eléctrica / Desfibriladores Implantables / Fantasmas de Imagen / Frecuencia Cardíaca Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Heart Rhythm Año: 2020 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fibrilación Ventricular / Simulación por Computador / Cardioversión Eléctrica / Desfibriladores Implantables / Fantasmas de Imagen / Frecuencia Cardíaca Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Heart Rhythm Año: 2020 Tipo del documento: Article Pais de publicación: Estados Unidos