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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
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
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.
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
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.
Original language | English |
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Title of host publication | 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) |
Publication status | Accepted/In press - 8 Apr 2025 |
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Dive into the research topics of 'SimICD: A Closed-Loop Simulation Framework For ICD Therapy'. Together they form a unique fingerprint.Projects
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MCPS-VeriSec: Model-based Security of Medical Cyber-Physical Systems
Paoletti, N. (Primary Investigator)
EPSRC Engineering and Physical Sciences Research Council
30/09/2022 → 30/09/2025
Project: Research