136 related articles for article (PubMed ID: 22254477)
1. Use of genetic algorithm for selection of regularization parameters in multiple constraint inverse ECG problem.
Gavgani AM; Dogrusoz YS
Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():985-8. PubMed ID: 22254477
[TBL] [Abstract][Full Text] [Related]
2. Genetic algorithm-based regularization parameter estimation for the inverse electrocardiography problem using multiple constraints.
Dogrusoz YS; Gavgani AM
Med Biol Eng Comput; 2013 Apr; 51(4):367-75. PubMed ID: 23224834
[TBL] [Abstract][Full Text] [Related]
3. Two hybrid regularization frameworks for solving the electrocardiography inverse problem.
Jiang M; Xia L; Shou G; Liu F; Crozier S
Phys Med Biol; 2008 Sep; 53(18):5151-64. PubMed ID: 18723934
[TBL] [Abstract][Full Text] [Related]
4. Physiology-based regularization of the electrocardiographic inverse problem.
Cluitmans MJM; Clerx M; Vandersickel N; Peeters RLM; Volders PGA; Westra RL
Med Biol Eng Comput; 2017 Aug; 55(8):1353-1365. PubMed ID: 27873155
[TBL] [Abstract][Full Text] [Related]
5. Combination of the LSQR method and a genetic algorithm for solving the electrocardiography inverse problem.
Jiang M; Xia L; Shou G; Tang M
Phys Med Biol; 2007 Mar; 52(5):1277-94. PubMed ID: 17301454
[TBL] [Abstract][Full Text] [Related]
6. On epicardial potential reconstruction using regularization schemes with the L1-norm data term.
Shou G; Xia L; Liu F; Jiang M; Crozier S
Phys Med Biol; 2011 Jan; 56(1):57-72. PubMed ID: 21119225
[TBL] [Abstract][Full Text] [Related]
7. Solving the inverse problem of electrocardiography using a Duncan and Horn formulation of the Kalman filter.
Berrier KL; Sorensen DC; Khoury DS
IEEE Trans Biomed Eng; 2004 Mar; 51(3):507-15. PubMed ID: 15000381
[TBL] [Abstract][Full Text] [Related]
8. A wavefront-based constraint for potential surface solutions in inverse electrocardiography.
Ghodrati A; Keely A; Tadmor G; MacLeod R; Brooks DH
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():2550-3. PubMed ID: 17946522
[TBL] [Abstract][Full Text] [Related]
9. Truncated total least squares: a new regularization method for the solution of ECG inverse problems.
Shou G; Xia L; Jiang M; Wei Q; Liu F; Crozier S
IEEE Trans Biomed Eng; 2008 Apr; 55(4):1327-35. PubMed ID: 18390323
[TBL] [Abstract][Full Text] [Related]
10. Assessment of regularization techniques for electrocardiographic imaging.
Milanič M; Jazbinšek V; Macleod RS; Brooks DH; Hren R
J Electrocardiol; 2014; 47(1):20-8. PubMed ID: 24369741
[TBL] [Abstract][Full Text] [Related]
11. Improved performance of bayesian solutions for inverse electrocardiography using multiple information sources.
Serinagaoglu Y; Brooks DH; MacLeod RS
IEEE Trans Biomed Eng; 2006 Oct; 53(10):2024-34. PubMed ID: 17019867
[TBL] [Abstract][Full Text] [Related]
12. Estimates of endocardial potentials from non-contact intracavitary probes.
Throne R; Olson L; Windle J; Schweitzer J; Voth E
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():2560-3. PubMed ID: 17945722
[TBL] [Abstract][Full Text] [Related]
13. Wavelet-promoted sparsity for non-invasive reconstruction of electrical activity of the heart.
Cluitmans M; Karel J; Bonizzi P; Volders P; Westra R; Peeters R
Med Biol Eng Comput; 2018 Nov; 56(11):2039-2050. PubMed ID: 29752679
[TBL] [Abstract][Full Text] [Related]
14. ML and MAP estimation of parameters for the Kalman filter and smoother applied to electrocardiographic imaging.
Erenler T; Serinagaoglu Dogrusoz Y
Med Biol Eng Comput; 2019 Oct; 57(10):2093-2113. PubMed ID: 31363890
[TBL] [Abstract][Full Text] [Related]
15. An admissible solution approach to inverse electrocardiography.
Ahmad GF; Brooks DH; MacLeod RS
Ann Biomed Eng; 1998; 26(2):278-92. PubMed ID: 9525768
[TBL] [Abstract][Full Text] [Related]
16. Noninvasive electrocardiographic imaging (ECGI): application of the generalized minimal residual (GMRes) method.
Ramanathan C; Jia P; Ghanem R; Calvetti D; Rudy Y
Ann Biomed Eng; 2003 Sep; 31(8):981-94. PubMed ID: 12918913
[TBL] [Abstract][Full Text] [Related]
17. Bayesian solutions and performance analysis in bioelectric inverse problems.
Serinagaoglu Y; Brooks DH; MacLeod RS
IEEE Trans Biomed Eng; 2005 Jun; 52(6):1009-20. PubMed ID: 15977731
[TBL] [Abstract][Full Text] [Related]
18. Higher order regularization techniques for inverse electrocardiography.
Throne RD; Olson LG
Biomed Sci Instrum; 1997; 34():257-62. PubMed ID: 9603049
[TBL] [Abstract][Full Text] [Related]
19. Finite-element-based discretization and regularization strategies for 3-D inverse electrocardiography.
Wang D; Kirby RM; Johnson CR
IEEE Trans Biomed Eng; 2011 Jun; 58(6):1827-38. PubMed ID: 21382763
[TBL] [Abstract][Full Text] [Related]
20. Effect of cardiac motion on solution of the electrocardiography inverse problem.
Jiang M; Xia L; Shou G; Wei Q; Liu F; Crozier S
IEEE Trans Biomed Eng; 2009 Apr; 56(4):923-31. PubMed ID: 19272916
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]