During reach-to-grasp motions, the Electromyo-graphic (EMG) activity of the arm varies depending on motion stage. The variability of the EMG signals results in low classification accuracy during the reaching phase, delaying the activation of the prosthesis. To increase the efficiency of the pattern-recognition system, we investigate the muscle activity of four individuals with below-elbow amputation …
Posted on: June 18, 2019
Keywords: arm-motion, biomechanics, dynamic classification approach, elbow angular velocity, electromyographic activity, electromyography, emg signals results, gaussian distribution, low classification accuracy, medical signal processing, motion phases, motion stage, muscle activity, muscles, reach-to-grasp motions, reaching phase, signal classification, upper limb prosthesis