213 related articles for article (PubMed ID: 9603049)
1. 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]
2. Generalized eigensystem techniques for the inverse problem of electrocardiography applied to a realistic heart-torso geometry.
Throne RD; Olson LG; Hrabik TJ; Windle JR
IEEE Trans Biomed Eng; 1997 Jun; 44(6):447-54. PubMed ID: 9151477
[TBL] [Abstract][Full Text] [Related]
3. Vector expansion techniques for the inverse problem of electrocardiography: application to a realistic heart-torso geometry.
Throne RD; Olson LG; Windle JR
Biomed Sci Instrum; 1996; 32():101-6. PubMed ID: 8672655
[TBL] [Abstract][Full Text] [Related]
4. A comparison of two methods for choosing the regularization parameter for the inverse problem of electrocardiography.
Lowther DA; Throne RD; Olson LG; Windle JR
Biomed Sci Instrum; 2002; 38():257-61. PubMed ID: 12085612
[TBL] [Abstract][Full Text] [Related]
5. The effects of errors in assumed conductivities and geometry on numerical solutions to the inverse problem of electrocardiography.
Throne RD; Olson LG
IEEE Trans Biomed Eng; 1995 Dec; 42(12):1192-200. PubMed ID: 8550061
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. 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]
9. Parameter choice methods and temporal filtering for the generalized eigensystem method applied to the inverse problem of electrocardiography.
Throne RD; Olson LG; Windle JR
Biomed Sci Instrum; 2001; 37():37-42. PubMed ID: 11347419
[TBL] [Abstract][Full Text] [Related]
10. A new method for regularization parameter determination in the inverse problem of electrocardiography.
Johnston PR; Gulrajani RM
IEEE Trans Biomed Eng; 1997 Jan; 44(1):19-39. PubMed ID: 9214781
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. The inverse problem in electrocardiography: solutions in terms of epicardial potentials.
Rudy Y; Messinger-Rapport BJ
Crit Rev Biomed Eng; 1988; 16(3):215-68. PubMed ID: 3064971
[TBL] [Abstract][Full Text] [Related]
13. The electrocardiographic inverse problem.
Rudy Y; Oster HS
Crit Rev Biomed Eng; 1992; 20(1-2):25-45. PubMed ID: 1424685
[TBL] [Abstract][Full Text] [Related]
14. Spatial regularization of the electrocardiographic inverse problem and its application to endocardial mapping.
Velipasaoglu EO; Sun H; Zhang F; Berrier KL; Khoury DS
IEEE Trans Biomed Eng; 2000 Mar; 47(3):327-37. PubMed ID: 10743774
[TBL] [Abstract][Full Text] [Related]
15. Estimation of heart-surface potentials using regularized multipole sources.
Beetner DG; Arthur RM
IEEE Trans Biomed Eng; 2004 Aug; 51(8):1366-73. PubMed ID: 15311821
[TBL] [Abstract][Full Text] [Related]
16. Regional regularization of the electrocardiographic inverse problem: a model study using spherical geometry.
Oster HS; Rudy Y
IEEE Trans Biomed Eng; 1997 Feb; 44(2):188-99. PubMed ID: 9214798
[TBL] [Abstract][Full Text] [Related]
17. Wavefront-based models for inverse electrocardiography.
Ghodrati A; Brooks DH; Tadmor G; MacLeod RS
IEEE Trans Biomed Eng; 2006 Sep; 53(9):1821-31. PubMed ID: 16941838
[TBL] [Abstract][Full Text] [Related]
18. The use of temporal information in the regularization of the inverse problem of electrocardiography.
Oster HS; Rudy Y
IEEE Trans Biomed Eng; 1992 Jan; 39(1):65-75. PubMed ID: 1572683
[TBL] [Abstract][Full Text] [Related]
19. The Laplacian inverse problem of electrocardiography: an eccentric spheres study.
Johnston PR
IEEE Trans Biomed Eng; 1997 Jul; 44(7):539-48. PubMed ID: 9210813
[TBL] [Abstract][Full Text] [Related]
20. Comparison of measured and computed epicardial potentials from a patient-specific inverse model.
Budgett DM; Monro DM; Edwards SW; Stanbridge RD
J Electrocardiol; 1993; 26 Suppl():165-73. PubMed ID: 8189121
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]