Controlling an Upper-Limb Rehabilitation Robot by EMG Signals
VERSION OF RECORD ONLINE: 17/09/2025
Email tác giả liên hệ:
thientd@hcmute.edu.vnDOI:
https://doi.org/10.54644/jte.2025.1783Từ khóa:
Rehabilitation robot, Upper limb exoskeleton, EMGs, Kalman filter, JacobianTóm tắt
This paper presents a method for controlling the motion of a 6-DOF upper limb rehabilitation robot based on electromyography (EMG) signal. A kinematic model has been determined by Denavit - Hartenberg (D-H) method. Due to the complexity of the robot mechanical structure, the inverse kinematics is addressed using the Jacobian method. Besides, the EMG signal is a physiological signal generated during muscle contraction, which is collected from a low-cost sensor interacted on the human arm, but noise is inevitable in the extracted data. Therefore, the method treats EMG signal noise using Butterworth filter and proposes a method to predict elbow joint angle based on EMG using zero crossing and Kalman filter. Finally, the proposed method is evaluated through simulation on MATLAB Simulink and experiments on a 6-DOF robot arm model. The experimental results show that the EMG signal processing method proposed is significantly effective and the upper limb rehabilitation robot based on EMG signals is feasible.
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