DocumentCode :
3635796
Title :
Implementation of the minimum relative (cross) entropy method for the solution of inverse ECG problem
Author :
Ali Bircan;Yeşim Serinağaoğlu
Author_Institution :
Elektrik ve Elektronik Muhendisligi Bolumu, Orta Dogu Teknik Universitesi
fYear :
2010
fDate :
4/1/2010 12:00:00 AM
Firstpage :
1
Lastpage :
4
Abstract :
Minimum relative (cross) entropy method can be used to solve linear inverse electrocardiography (ECG) problem. Inverse ECG problem has a form d=Gm where m is a vector of unknown model parameters (epicardial potentials), d is a vector of measurements (torso potentials) and G is the forward transfer matrix. MRE method treats the elements of m as random variables and obtains the potential distribution and the solution as the expected value of the posterior distribution. The prior information about lower and upper bounds of m and a prior expected value of m are needed to obtain the epicardial potential distribution. In this study, MRE method is tested with various lower and upper bounds and expected values. Test results are compared with the true potentials, with each other and with Tikhonov regularization method results. These results show that similar solutions to Tikhonov are obtained with robust prior information and better results are obtained with better prior information. In addition, prior expected value of m is more effective than the lower and upper bounds of m.
Keywords :
"Entropy","Electrocardiography","Torso","Upper bound","Vectors","Testing","Solid modeling","Random variables","Robustness","Gaussian processes"
Publisher :
ieee
Conference_Titel :
Biomedical Engineering Meeting (BIYOMUT), 2010 15th National
Print_ISBN :
978-1-4244-6380-0
Type :
conf
DOI :
10.1109/BIYOMUT.2010.5479786
Filename :
5479786
Link To Document :
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