A comparison between force and position control strategies in myoelectric prostheses.
This work studies the simultaneous and proportional myoelectric force and position estimation of multiple degrees of freedom (DOFs) for unilateral transradial amputees. Two experiments were conducted to compare force and position control paradigms. In the first, a force experiment, subjects performed isometric contractions, while the force applied by the limb and EMG were recorded. In the second, a position experiment, dynamic contractions were permitted during which position of the limb and EMG were measured. Artificial neural networks (ANNs) were trained to estimate force/position from EMG of the contralateral limb during mirrored bilateral contractions. This study involved contractions with combined activations of three DOFs including wrist: flexion/extension, radial/ulnar deviation and forearm supination/pronation. For the given data set, while force estimation demonstrated high accuracy (R(2)=0.84±0.02), position estimation performance was relatively poor (R(2)=0.57±0.05). Two healthy subjects participated in this work.
Department of Electrical and Computer Engineering, University of New Brunswick, Fredericton, NB, E3B 5A3, Canada. ali.ameri@unb.ca
Ali
A
Ameri
Kevin B
KB
Englehart
Phillip A
PA
Parker
D000674:Amputees / Q000534:rehabilitation; D000704:Analysis of Variance; D004566:Electrodes; D004576:Electromyography / Q000295:instrumentation* / Q000379:methods*; D006801:Humans; D055595:Mechanical Phenomena; D016571:Neural Networks, Computer; D010363:Pattern Recognition, Automated; D019736:Prostheses and Implants; D012656:Self-Help Devices; D012815:Signal Processing, Computer-Assisted; D014953:Wrist / Q000502:physiology