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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Yue, Sun, Maoxun, Xia, Chunming, Zhou, Jie, Cao, Gangsheng, Wu, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422262/
https://www.ncbi.nlm.nih.gov/pubmed/37571722
http://dx.doi.org/10.3390/s23156939

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422262/
https://www.ncbi.nlm.nih.gov/pubmed/37571722
http://dx.doi.org/10.3390/s23156939

Ejemplares similares