使用粒子群优化算法解析叠加的运动单位动作电位
Resolving superimposed MUAPs using particle swarm optimization.
作者信息
Marateb Hamid Reza, McGill Kevin C
机构信息
Laboratorio di Ingegneria del Sistema Neuromuscolare, Dipartimento di Elettronica, Politecnico di Torino, Turin 10129, Italy.
出版信息
IEEE Trans Biomed Eng. 2009 Mar;56(3):916-9. doi: 10.1109/TBME.2008.2005953. Epub 2008 Sep 30.
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%.
摘要
本文提出了一种算法，用于解决肌电信号分解过程中遇到的叠加动作电位问题。该算法采用了具有多种特性的粒子群优化算法，包括随机化、交叉和多群体。在一项涉及两到五个运动单位动作电位实际叠加的模拟研究中，该算法的准确率达到了98%。
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本文引用的文献
1
A genetic algorithm for the resolution of superimposed motor unit action potentials.
IEEE Trans Biomed Eng. 2007 Dec;54(12):2163-71. doi: 10.1109/tbme.2007.894977.
2
Improved resolution of pulse superpositions in a knowledge-based system EMG decomposition.
Conf Proc IEEE Eng Med Biol Soc. 2004;2006:69-71. doi: 10.1109/IEMBS.2004.1403092.
3
Optimal resolution of superimposed action potentials.
IEEE Trans Biomed Eng. 2002 Jul;49(7):640-50. doi: 10.1109/TBME.2002.1010847.
4
EMG signal decomposition: how can it be accomplished and used?
J Electromyogr Kinesiol. 2001 Jun;11(3):151-73. doi: 10.1016/s1050-6411(00)00050-x.
5
Resolving superimposed motor unit action potentials.
Med Biol Eng Comput. 1996 Jan;34(1):33-40. doi: 10.1007/BF02637020.
6
A procedure for decomposing the myoelectric signal into its constituent action potentials--Part I: Technique, theory, and implementation.
IEEE Trans Biomed Eng. 1982 Mar;29(3):149-57. doi: 10.1109/tbme.1982.324881.
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