In this study we explored the effectiveness of using simulated epicardial potentials and the corresponding BSPs for obtaining the prior models based on two ...
In this study, we explore the use of simulated data (EGM and BSP) for con- structing appropriate training sets, which then can be used to estimate the desired a ...
In this study we explored the effectiveness of using simulated epicardial potentials and the corresponding BSPs for obtaining the prior models.
In this study, we explore the use of simulated data (EGM and BSP) for con- structing appropriate training sets, which then can be used to estimate the desired a ...
This study explored the effectiveness of using simulated epicardial potentials and the corresponding BSPs for obtaining the prior models based on two ...
Use of Simulated Data for the Estimation of Prior Models in Kalman Filter-Based Electrocardiographic Imaging. Yesim Serinagaoglu Dogrusoz1 and Taha Erenler2
Dec 9, 2024 · We employ two methods, maximum likelihood (ML) and maximum a posteriori (MAP), for estimating the model parameters such as the prior pdfs, error ...
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Aug 1, 2021 · The problem is known as “stochastic singularity”, which happens if a linearized model implies an exact linear combination between observables.
Missing: Based ECGI.
Oct 22, 2024 · Use of Simulated Data for the Estimation of Prior Models in Kalman Filter-Based Electrocardiographic Imaging. Conference Paper. Dec 2020.
We employ two methods, maximum likelihood (ML) and maximum a posteriori (MAP), for estimating the model parameters such as the prior pdfs, error pdfs, and the ...