Minimum distance to origin: a method for choosing the number of expansion modes for the generalized eigensystem method

Author

Throne, RD ; Olson, LG ; Hrabik, TJ

Author_Institution

Dept. of Electr. Eng., Nebraska Univ., Lincoln, NE, USA

fYear

1998

fDate

13-16 Sep 1998

Firstpage

697

Lastpage

700

Abstract

The authors have previously presented the generalized eigen-system (GES) approach as an alternative to truncated singular value decomposition and zero, first, and second order Tikhonov regularization methods for the ill-conditioned inverse problem of electrocardiography. The results from the GES methods were generally superior when the optimal parameters were used for each method. In this study the authors introduce the Minimum Distance to Origin (MDO) method for choosing the number of GES expansion vectors

Keywords

electrocardiography; inverse problems; physiological models; singular value decomposition; vectors; ECG model; electrocardiography inverse problem; electrodiagnostics; expansion vectors number; generalized eigen-system approach; ill-conditioned inverse problem; minimum distance to origin method; optimal parameters; second order Tikhonov regularization methods; truncated singular value decomposition; Cardiography; Electrodes; Finite element methods; Heart; Inverse problems; Measurement standards; Mechanical engineering; Singular value decomposition; Solid modeling; Torso;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology 1998

Conference_Location

Cleveland, OH

ISSN

0276-6547

Print_ISBN

0-7803-5200-9

Type

conf

DOI

10.1109/CIC.1998.731969

Filename

731969