Title :
Adaptive regularization of the inverse problem in electrocardiography
Author :
Khoruv, D.S. ; Marks, Gary F.
Author_Institution :
Center for Exp. Cardiac Electrophysiol., Baylor Coll. of Med., Houston, TX, USA
Abstract :
The inverse problem in electrocardiography is aimed at characterizing electrical activity within the heart muscle by harvesting remote-sensing data. Electrical potentials on the surface of the heart are obtained by solving a boundary value problem using the boundary element method in concert with a regularization technique. Use of adaptive regularization is demonstrated to be superior to traditional methods for solving the inverse problem
Keywords :
adaptive signal processing; boundary-elements methods; boundary-value problems; electrocardiography; inverse problems; medical signal processing; smoothing methods; adaptive regularization; boundary element method; boundary value problem; electrical activity; electrical potentials; electrocardiography; heart muscle; heart surface; inverse problem; remote-sensing; Bioelectric phenomena; Boundary element methods; Electric potential; Electrocardiography; Heart; Image reconstruction; Inverse problems; Muscles; Remote sensing; Surface reconstruction;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
DOI :
10.1109/IEMBS.1995.575075
