Title :
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
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;
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
DOI :
10.1109/IEMBS.1994.411786
