SimICD:A Closed-Loop Simulation Framework For ICD Therapy

Virtual studies of ICD behaviour are crucial for testing device functionality in a controlled environment prior to clinical application. Although previous works have shown the viability of using in silico testing for diagnosis, there is a notable gap in available models that can simulate therapy progression decisions during arrhythmic episodes. This work introduces SimICD, a simulation tool which combines virtual<br/>ICD logic algorithms with cardiac electrophysiology simulations in a feedback loop, allowing the progression of ICD therapy protocols to be simulated for a range of tachy-arrhythmia episodes. Using a cohort of virtual patients, we demonstrate<br/>the ability of SimICD to simulate realistic cardiac signals and ICD responses that align with the logic of real-world devices, facilitating the reprogramming of ICD parameters to adapt to specific episodes.

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Publication Details

Journal
Research Portal (King's College London)
Published
2025-04-08
Primary Topic
Parasitic Infections and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00

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article

SimICD:A Closed-Loop Simulation Framework For ICD Therapy

Research Portal (King's College London)
Parasitic Infections and Diagnostics
article

SimICD:A Closed-Loop Simulation Framework For ICD Therapy

article en

Abstract

Virtual studies of ICD behaviour are crucial for testing device functionality in a controlled environment prior to clinical application. Although previous works have shown the viability of using in silico testing for diagnosis, there is a notable gap in available models that can simulate therapy progression decisions during arrhythmic episodes. This work introduces SimICD, a simulation tool which combines virtual<br/>ICD logic algorithms with cardiac electrophysiology simulations in a feedback loop, allowing the progression of ICD therapy protocols to be simulated for a range of tachy-arrhythmia episodes. Using a cohort of virtual patients, we demonstrate<br/>the ability of SimICD to simulate realistic cardiac signals and ICD responses that align with the logic of real-world devices, facilitating the reprogramming of ICD parameters to adapt to specific episodes.

Research Portal (King's College London)
Institute for Security Studies (KE), Digital Science (United States) (US)
UK Research and Innovation, British Heart Foundation, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 41%
Parasitic Infections and Diagnostics
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