SimICD: A Closed-Loop Simulation Framework For ICD Therapy
Fuente:
arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866918007140253696 |
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| author | Lydon, Hannah Kazemi, Milad Bishop, Martin Paoletti, Nicola |
| author_facet | Lydon, Hannah Kazemi, Milad Bishop, Martin Paoletti, Nicola |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_01371 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | SimICD: A Closed-Loop Simulation Framework For ICD Therapy Lydon, Hannah Kazemi, Milad Bishop, Martin Paoletti, Nicola Computational Engineering, Finance, and Science 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. |
| title | SimICD: A Closed-Loop Simulation Framework For ICD Therapy |
| topic | Computational Engineering, Finance, and Science |
| url | https://arxiv.org/abs/2505.01371 |