Multiply constrained inverse electrocardiography: combining temporal, multiple spatial, and iterative regularization

Author

Brooks, D.H. ; Ahmad, G. ; MacLeod, R.S.

Author_Institution

Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA

fYear

1994

fDate

3-6 Nov 1994

Firstpage

137

Abstract

The inverse problem of electrocardiography is ill-posed and requires the imposition of a priori constraints. The authors investigate the joint use of several constraints, including explicit spatial and temporal constraints and implicit frequency constraints via truncated iterative conjugate gradient solutions

Keywords

electrocardiography; inverse problems; iterative methods; ECG inverse problem; implicit frequency constraints; iterative regularization; multiple spatial regularization; multiply constrained inverse electrocardiography; spatial constraints; temporal constraints; temporal regularization; truncated iterative conjugate gradient solutions; Attenuation; Cities and towns; Electrocardiography; Frequency; Geometry; Inverse problems; Laplace equations; Solid modeling; Torso; Volume measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE

Conference_Location

Baltimore, MD

Print_ISBN

0-7803-2050-6

Type

conf

DOI

10.1109/IEMBS.1994.411786

Filename

411786

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1809144