• 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