Resolving superimposed MUAPs using particle swarm optimization.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 19272923.
- Also identified by DOI 10.1109/TBME.2008.2005953 and PMC identifier 2673334.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
This paper presents an algorithm to resolve superimposed action potentials encountered during the decomposition of electromyographic signals. The algorithm uses particle swarm optimization with a variety of features including randomization, crossover, and multiple swarms. In a simulation study involving realistic superpositions of two to five motor-unit action potentials, the algorithm had an accuracy of 98%.
Medical subject headings
- Algorithms
- Electromyography
- Models, Neurological
- Motor Neurons
- Signal Processing, Computer-Assisted