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. Stonick | 1 | 3 | 1.30 |
R. A. Jesinger | 2 | 0 | 0.34 |
V. L. Stonick | 3 | 17 | 3.16 |
S. B. Baumann | 4 | 0 | 0.34 |