Effects of Prior Data on the Inference and Filtering Based Electrocardiographic Imaging

Statistical estimation techniques with "good" prior information improves the accuracy of electrocardiographic imaging (ECGI). Obtaining a "good" prior information in terms of training data, and how to use these data to estimate the prior parameters, are among of the primary chall...

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Bibliographic Details

Published in:	Computing in cardiology pp. Page 1 - Page 4
Main Authors:	Erenler, Taha, Dogrusoz, Yesim Serinagaoglu
Format:	Conference Proceeding
Language:	English
Published:	Creative Commons 01.09.2019
Subjects:	Kalman filters Maximum likelihood estimation Noise measurement Parameter estimation Signal to noise ratio Training
ISSN:	2325-887X
Online Access:	Get full text
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