Mechanomyography Signal Pattern Recognition of Knee and Ankle Movements Using Swarm Intelligence Algorithm-Based Feature Selection Methods

Pattern recognition of lower-limb movements based on mechanomyography (MMG) signals has a certain application value in the study of wearable rehabilitation-training devices. In this paper, MMG feature selection methods based on a chameleon swarm algorithm (CSA) and a grasshopper optimization algorit...

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Vydané v:	Sensors (Basel, Switzerland) Ročník 23; číslo 15; s. 6939
Hlavní autori:	Zhang, Yue, Sun, Maoxun, Xia, Chunming, Zhou, Jie, Cao, Gangsheng, Wu, Qing
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland MDPI AG 04.08.2023 MDPI
Predmet:	Accuracy Algorithms Ankle chameleon swarm algorithm Classification Computational linguistics Deep learning Experiments Feature selection Gait grasshopper optimization algorithm Language processing Machine learning Mathematical optimization mechanomyography Methods Natural language interfaces Optimization algorithms Pattern recognition Rehabilitation Signal processing Swarm intelligence Wavelet transforms China grasshopper optimization algorithm mechanomyography chameleon swarm algorithm feature selection pattern recognition
ISSN:	1424-8220, 1424-8220
On-line prístup:	Získať plný text
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