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Results: 1 to 20 of 104

Related Citations for PubMed (Select 19266284)

1.

Application of L1-norm regularization to epicardial potential solution of the inverse electrocardiography problem.

Ghosh S, Rudy Y.

Ann Biomed Eng. 2009 May;37(5):902-12. doi: 10.1007/s10439-009-9665-6. Epub 2009 Mar 6.

2.

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 7;56(1):57-72. doi: 10.1088/0031-9155/56/1/004. Epub 2010 Nov 30.

PMID:
21119225
3.

Application of L1-norm regularization to epicardial potential reconstruction based on gradient projection.

Wang L, Qin J, Wong TT, Heng PA.

Phys Med Biol. 2011 Oct 7;56(19):6291-310. doi: 10.1088/0031-9155/56/19/009. Epub 2011 Sep 6.

PMID:
21896965
4.

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.

5.

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.

PMID:
15000381
6.

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.

PMID:
8189121
7.

Forward and inverse problems of electrocardiography: modeling and recovery of epicardial potentials in humans.

Shahidi AV, Savard P, Nadeau R.

IEEE Trans Biomed Eng. 1994 Mar;41(3):249-56.

PMID:
8045577
8.
9.

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.

PMID:
9214781
10.

The electrocardiographic inverse problem.

Rudy Y, Oster HS.

Crit Rev Biomed Eng. 1992;20(1-2):25-45. Review.

PMID:
1424685
11.

A comparison of noninvasive reconstruction of epicardial versus transmembrane potentials in consideration of the null space.

Messnarz B, Seger M, Modre R, Fischer G, Hanser F, Tilg B.

IEEE Trans Biomed Eng. 2004 Sep;51(9):1609-18.

PMID:
15376509
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. Review.

PMID:
3064971
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.

PMID:
10743774
15.
16.
17.

A comparison of different choices for the regularization parameter in inverse electrocardiography models.

Shou G, Jiang M, Xia L, Wei Q, Liu F, Crozier S.

Conf Proc IEEE Eng Med Biol Soc. 2006;1:3903-6.

PMID:
17945815
18.

Reconstruction algorithms based on l1-norm and l2-norm for two imaging models of fluorescence molecular tomography: a comparative study.

Yi H, Chen D, Li W, Zhu S, Wang X, Liang J, Tian J.

J Biomed Opt. 2013 May;18(5):56013. doi: 10.1117/1.JBO.18.5.056013.

PMID:
23722452
19.

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 7;52(5):1277-94. Epub 2007 Feb 1.

PMID:
17301454
20.

Higher order regularization techniques for inverse electrocardiography.

Throne RD, Olson LG.

Biomed Sci Instrum. 1997;34:257-62.

PMID:
9603049
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