Low-Density sEMG-Based Pattern Recognition of Unrelated Movements Rejection for Wrist Joint Rehabilitation.

Bu, Dongdong; Guo, Shuxiang; Guo, Jin; Li, He; Wang, Hanze

Bu, Dongdong; Guo, Shuxiang; Guo, Jin; Li, He; Wang, Hanze.

Afiliação

Bu D; School of Life Science, Beijing Institute of Technology, Beijing 100081, China.
Guo S; School of Life Science, Beijing Institute of Technology, Beijing 100081, China.
Guo J; Key Laboratory of Convergence Medical Engineering System and Healthcare Technology, Ministry of Industry and Information Technology, School of Life Science, Beijing Institute of Technology, Beijing 100081, China.
Li H; School of Life Science, Beijing Institute of Technology, Beijing 100081, China.
Wang H; Key Laboratory of Convergence Medical Engineering System and Healthcare Technology, Ministry of Industry and Information Technology, School of Life Science, Beijing Institute of Technology, Beijing 100081, China.

Micromachines (Basel) ; 14(3)2023 Feb 27.

Article em En | MEDLINE | ID: mdl-36984962

Palavras-chave

autoencoder (AE); convolutional neural network (CNN); surface electromyography (sEMG); unrelated movements rejection; wrist joint rehabilitation training

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Micromachines (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google