NDLI: Comparison of Kalman filter and Bayesian-MAP approaches in the spatio-temporal solution of the inverse electrocardiography

Content Provider	IEEE Xplore Digital Library
Author	Aydın, U. Serinağaoğlu, Y.
Copyright Year	2010
Description	Author affiliation: Elektrik ve Elektronik Mühendisligi Bölümü, Orta Dogu Teknik Üniversitesi (Aydın, U.; Serinağaoğlu, Y.)
Abstract	In this study some of the spatial and spatio-temporal methods for the solution of the inverse problem of electrocardiography (ECG) are compared with each other. Comparisons are also made for the cases with geometric errors, where the location of the heart is shifted for 10mm and the size of the heart is reduced by 5%. The compared methods are the Kalman filter and Bayesian maximum a posteriori estimation (MAP). Two different Bayesian-MAP algorithms are used. While one uses only spatial information the other uses spatio-temporal information. In Kalman filter algorithms the state transition matrix (STM) that contains the spatio-temporal information is calculated with two different scenarios. In the first case the STM is calculated directly from the training set and in the second case the solution of the spatial Bayesian-MAP is employed to calculate STM.
Starting Page	1
Ending Page	4
File Size	458464
Page Count	4
File Format	PDF
ISBN	9781424463800
e-ISBN	9781424463824
DOI	10.1109/BIYOMUT.2010.5479771
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-21
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heart Maximum a posteriori estimation Inverse problems Bayesian methods Electrocardiography Spatiotemporal phenomena Kalman filters
Content Type	Text
Resource Type	Article

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