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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Autori principali:	Rohollah Hasanzadeh Fereydooni, Hassan Siahkali, Heidar Ali Shayanfar, Amir Hooshang Mazinan
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	University of Sistan and Baluchestan 2021-04-01
Serie:	International Journal of Industrial Electronics, Control and Optimization
Soggetti:	joint angle estimation semg signals rehabilitation robots bidirectional recurrent neural network
Accesso online:	https://ieco.usb.ac.ir/article_5863_8e94cf1e0b1374586b891907f4aeafa9.pdf
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