Paper Info
Title
Estimation and localization of multiple dipole sources for noninvasive mapping of muscle activity.
Abstract
In this paper, we develop a method for estimating and localizing multiple current-dipole sources within a finite-element arm model from surface EMG measurements. This extends previous work (Jesinger and Stonick, 1994 and LoPresti et al., 1995) in which we developed a realistic finite-element arm model from magnetic resonance images and then solved the single source localization problem via exhaustive search. Exhaustive search, however, is unacceptable for the multi-source localization problem due to the combinatorial nature of the number of solutions. (Our finite-element arm model has on the order of 10/sup 13/ possible solutions.) Thus, we present an iterative technique which alternately pares down the size of the solution space and then locates sources one at a time. Examples demonstrating the power of our algorithm are included.
Year
DOI
Venue
1996
10.1109/ICASSP.1996.550163
ICASSP
Keywords
Field
DocType
magnetic resonance image,locates source,alternately pares,iterative technique,finite-element arm model,single source localization problem,exhaustive search,combinatorial nature,multiple dipole source,muscle activity,noninvasive mapping,multi-source localization problem,realistic finite-element arm model,iterative methods,finite element analysis,electrodes,signal generators,finite element,finite element methods
Muscle activity,Mathematical optimization,Brute-force search,Pattern recognition,Iterative method,Computer science,Combinatorial mathematics,Finite element method,Source localization,Artificial intelligence,Dipole
Conference
ISBN
Citations 
PageRank 
0-7803-3192-3
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
J. T. Stonick131.30
R. A. Jesinger200.34
V. L. Stonick3173.16
S. B. Baumann400.34