Title :
Two mechanisms for electrocardiographic deconvolution
Author_Institution :
Dept. of Radiol. Sci., California Univ., Irvine, CA, USA
fDate :
31 Oct-3 Nov 1996
Abstract :
Electrocardiographic imaging requires computation of a time-varying “source” (e.g. epicardial potentials) from measurements (body surface potentials) with a known linear dependence on the source. The problem has been usually treated in a time-independent fashion, but since it is ill-posed, and since solutions at adjacent time points must be codependent, it has been suggested that time-dependent information be incorporated into the regularization procedure. The authors supply two different mechanisms for incorporating time in a natural fashion based on treatment of the data as a generalized convolution
Keywords :
deconvolution; electrocardiography; inverse problems; medical image processing; adjacent time points; body surface potential measurements; codependent solutions; data treatment; electrocardiographic deconvolution mechanisms; electrodiagnostics; epicardial potentials; generalized convolution; ill-posed problem; inverse ECG problem; regularization procedure; time-dependent information; time-varying source computation; Convolution; Deconvolution; Difference equations; Eigenvalues and eigenfunctions; Electrocardiography; Engineering in Medicine and Biology Society; Integral equations; Least squares methods; Noise reduction; White noise;
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
DOI :
10.1109/IEMBS.1996.647487