DocumentCode :
2082813
Title :
A comparison between force and position control strategies in myoelectric prostheses
Author :
Ameri, Alireza ; Englehart, Kevin B. ; Parker, Philip A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of New Brunswick, Fredericton, NB, Canada
fYear :
2012
fDate :
Aug. 28 2012-Sept. 1 2012
Firstpage :
1342
Lastpage :
1345
Abstract :
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 (R2=0.84±0.02), position estimation performance was relatively poor (R2=0.57±0.05). Two healthy subjects participated in this work.
Keywords :
electromyography; medical signal processing; neural nets; prosthetics; EMG; artificial neural network; contralateral limb; dynamic contraction; force control strategy; isometric contraction; multiple degrees of freedom; myoelectric force; myoelectric prosthesis; position control strategy; unilateral transradial amputee; Artificial neural networks; Dynamics; Electromyography; Estimation; Force; Muscles; Position control; Amputees; Analysis of Variance; Electrodes; Electromyography; Humans; Mechanical Processes; Neural Networks (Computer); Pattern Recognition, Automated; Prostheses and Implants; Self-Help Devices; Signal Processing, Computer-Assisted; Wrist;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2012.6346186
Filename :
6346186
Link To Document :
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