Continuous Estimation of Knee Joint Angle Based on Surface Electromyography Using a Long Short-Term Memory Neural Network and Time-Advanced Feature

Continuous joint angle estimation based on a surface electromyography (sEMG) signal can be used to improve the man-machine coordination performance of the exoskeleton. In this study, we proposed a time-advanced feature and utilized long short-term memory (LSTM) with a root mean square (RMS) feature...

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Detalles Bibliográficos
Autores principales: Ma, Xunju, Liu, Yali, Song, Qiuzhi, Wang, Can
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506963/
https://www.ncbi.nlm.nih.gov/pubmed/32887326
http://dx.doi.org/10.3390/s20174966

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506963/
https://www.ncbi.nlm.nih.gov/pubmed/32887326
http://dx.doi.org/10.3390/s20174966

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