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oapen-20.500.12657-56965
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oapen-20.500.12657-569652022-06-21T03:04:03Z A Multiscale In Silico Study to Characterize the Atrial Electrical Activity of Patients With Atrial Fibrillation Patricio Sánchez Arciniegas, Jorge Vorhofflimmern Fibrose maschinelles Lernen Bidomain Modellierung des Herzens atrial fibrillation fibrosis machine learning bidomain cardiac modeling bic Book Industry Communication::T Technology, engineering, agriculture::TH Energy technology & engineering::THR Electrical engineering The atrial substrate undergoes electrical and structural remodeling during atrial fibrillation. Detailed multiscale models were used to study the effect of structural remodeling induced at the cellular and tissue levels. Simulated electrograms were used to train a machine-learning algorithm to characterize the substrate. Also, wave propagation direction was tracked from unannotated electrograms. In conclusion, in silico experiments provide insight into electrograms' information of the substrate. 2022-06-20T19:09:54Z 2022-06-20T19:09:54Z 2022 book ONIX_20220620_9783731511700_75 1864-5933 9783731511700 https://library.oapen.org/handle/20.500.12657/56965 eng Karlsruhe transactions on biomedical engineering application/pdf n/a 9783731511700.pdf https://www.ksp.kit.edu/site/books/m/10.5445/KSP/1000143481/ KIT Scientific Publishing KIT Scientific Publishing 10.5445/KSP/1000143481 10.5445/KSP/1000143481 44e29711-8d53-496b-85cc-3d10c9469be9 9783731511700 KIT Scientific Publishing 24 162 Karlsruhe open access
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| institution |
OAPEN
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DSpace
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| language |
English
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| description |
The atrial substrate undergoes electrical and structural remodeling during atrial fibrillation. Detailed multiscale models were used to study the effect of structural remodeling induced at the cellular and tissue levels. Simulated electrograms were used to train a machine-learning algorithm to characterize the substrate. Also, wave propagation direction was tracked from unannotated electrograms. In conclusion, in silico experiments provide insight into electrograms' information of the substrate.
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| title |
9783731511700.pdf
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| spellingShingle |
9783731511700.pdf
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| title_short |
9783731511700.pdf
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| title_full |
9783731511700.pdf
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| title_fullStr |
9783731511700.pdf
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| title_full_unstemmed |
9783731511700.pdf
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| title_sort |
9783731511700.pdf
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| publisher |
KIT Scientific Publishing
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| publishDate |
2022
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| url |
https://www.ksp.kit.edu/site/books/m/10.5445/KSP/1000143481/
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| _version_ |
1771297488303554560
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