Name
Abstract | ||
|---|---|---|
This paper presents a novel method, which aims at resolving difficult superimpositions of motor unit action potentials (MUAPs) obtained from single-channel intramuscular electromyographic recordings. Resolution is achieved by means of a genetic algorithm (GA) combined with a gradient descent method. This dual optimization scheme has been tested by means of simulations of isolated superimpositions ... |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/TBME.2007.894977 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Genetic algorithms,Electromyography,Signal resolution,Testing,Muscles,Shape,Signal processing,Spatial resolution,Disk recording | Template matching,Computer vision,Neuromuscular stimulation,Signal processing,Gradient descent,Pattern recognition,Computer science,Speech recognition,Motor unit,Artificial intelligence,Image resolution,Genetic algorithm | Journal |
Volume | Issue | ISSN |
54 | 12 | 0018-9294 |
Citations | PageRank | References |
1 | 0.38 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joël R. Florestal | 1 | 1 | 0.38 |
| Pierre A. Mathieu | 2 | 6 | 2.64 |
| Réjean Plamondon | 3 | 3072 | 351.57 |