Title :
Space-time treatment of inverse bioelectric field problems
Author_Institution :
Dept. of Radiol. Sci., California Univ., Irvine, CA, USA
Abstract :
Inverse bioelectric field problems require estimation of a matrix representing the space-time distribution of source-layer strength-which is formally the quotient of a space-time data matrix and a spatial transfer matrix (the latter being ill-conditioned and noise-corrupted). A nonlinear estimation formulation results from imposition of constraints on the form of the solution time series (e.g. as a cardiac action potential, or a cerebral epileptogenic spike). In the absence of such constraints, the optimal (linear) estimation algorithm is based on the novel concept of a “Virtual-SVD”,, which we present herein
Keywords :
bioelectric potentials; electrocardiography; electroencephalography; inverse problems; nonlinear estimation; singular value decomposition; time series; transfer function matrices; Virtual-SVD; cardiac action potential; cerebral epileptogenic spike; ill-conditioned; inverse bioelectric field problems; noise-corrupted; nonlinear estimation formulation; optimal linear estimation algorithm; solution time series; source-layer strength; space-time data matrix; space-time treatment; spatial transfer matrix; Bioelectric phenomena; Electroencephalography; Epilepsy; Inverse problems; Magnetic resonance imaging; Matrix decomposition; Noise measurement; Time factors; Time measurement; Ultrasonic variables measurement;
Conference_Titel :
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-6465-1
DOI :
10.1109/IEMBS.2000.900388