Recurrent Neural Network Enabled Continuous Motion Estimation of Lower Limb Joints From Incomplete sEMG Signals

Decoding continuous human motion from surface electromyography (sEMG) in advance is crucial for improving the intelligence of exoskeleton robots. However, incomplete sEMG signals are prevalent on account of unstable data transmission, sensor malfunction, and electrode sheet detachment. These non-ide...

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Hauptverfasser:	Gang Wang, Long Jin, Jiliang Zhang, Xiaoqin Duan, Jiang Yi, Mingming Zhang, Zhongbo Sun
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2024-01-01
Schriftenreihe:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Schlagworte:	Surface electromyography (sEMG) continuous motion estimation incomplete signals recurrent neural network
Online-Zugang:	https://ieeexplore.ieee.org/document/10680114/
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