Nov 24, 2020 · This paper proposes a closed-loop model for joint torque estimation based on surface electromyography (sEMG).
Dec 9, 2020 · This paper proposes a closed-loop model for joint torque estimation based on surface electromyography (sEMG). Combined with the physiological ...
The presented closed- loop model combines offline modeling and online filtering to achieve online estimation of joint torque, which ameliorates the problem ...
Joint torque estimation is of great significance for the research and clinical application of intelligent rehabilitation technology.
Article "Joint Torque Closed-Loop Estimation Using NARX Neural Network Based on sEMG Signals" Detailed information of the J-GLOBAL is an information service ...
Dynamic recurrent neural networks based on the NARX model are widely used for joint angle estimation, decoding shoulder, elbow and wrist motions and prosthesis ...
An efficient attention-driven deep neural network approach for continuous estimation of knee joint kinematics via sEMG signals during running. Author links ...
Apr 22, 2022 · Two-way ANOVA analysis identifies the significance of NN models and EMG features of the muscles in predicting the knee joint torque requirement.
Missing: Closed- | Show results with:Closed-
A system is constructed to improve the sEMG signal measurement environment by producing small multichannel s EMG modules and a deep natural network ...
Missing: Closed- NARX
Mar 27, 2023 · NARX is extensively used to estimate joint angle, decode shoulder, elbow and wrist movements, and control prosthetic model.[39] Moreover, torque ...