Multi channels sEMG-based joint angles estimation of lower limbs utilizing bidirectional recurrent neural network

Nowadays, rehabilitative robots that have received more attention in the field of rehabilitation can help patients in the rehabilitation training and reduce therapist workload. This paper suggests the use of surface electromyography (sEMG) signals and a bidirectional neural network (BRNN) for the es...

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Detalhes bibliográficos

Principais autores:	Rohollah Hasanzadeh Fereydooni, Hassan Siahkali, Heidar Ali Shayanfar, Amir Hooshang Mazinan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	University of Sistan and Baluchestan 2021-04-01
Colecção:	International Journal of Industrial Electronics, Control and Optimization
Assuntos:	joint angle estimation semg signals rehabilitation robots bidirectional recurrent neural network
Acesso em linha:	https://ieco.usb.ac.ir/article_5863_8e94cf1e0b1374586b891907f4aeafa9.pdf
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