Literature DB >> 1994966

Proportional myoelectric hand control: an evaluation.

H H Sears1, J Shaperman.   

Abstract

The authors review the principle of proportional myoelectric control, in which the motor voltage of a prosthetic hand varies in direct proportion to the EMG signal, giving the amputee control over speed and force of grip. This type of myoelectric control is contrasted with digital myoelectric control, in which the system is fully on or off, giving the amputee no control over speed of hand opening and closing, and the grip force is increased only by increasing the time of the sustained EMG signal. A survey was conducted of 33 patients wearing the proportional myoelectric hand. Patients rated quickness of opening and closing; control over speed and force; effort required to open and close; and comfort, convenience, and cosmesis of the hand; as well as giving it an overall rating in comparison with their previous terminal device. The ratings were made on a 5-level scale, so that they could be quantified. Patient responses were grouped according to previous experience with a terminal device type: group A: digital myoelectric hand; group B: body-powered terminal device; group C: no terminal device. Differences in group means were compared using Student's t test. Previous digital hand wearers gave significantly higher ratings to the proportionally controlled hand overall, especially for its quickness, control of speed and force, and the effort required to open and close the hand. Former body-powered terminal device wearers rated the proportionally controlled hand significantly better on control over speed and force and on cosmesis.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1991        PMID: 1994966     DOI: 10.1097/00002060-199102000-00005

Source DB:  PubMed          Journal:  Am J Phys Med Rehabil        ISSN: 0894-9115            Impact factor:   2.159


  11 in total

1.  An analysis of EMG electrode configuration for targeted muscle reinnervation based neural machine interface.

Authors:  He Huang; Ping Zhou; Guanglin Li; Todd A Kuiken
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2008-02       Impact factor: 3.802

2.  An ankle-foot orthosis powered by artificial pneumatic muscles.

Authors:  Daniel P Ferris; Joseph M Czerniecki; Blake Hannaford
Journal:  J Appl Biomech       Date:  2005-05       Impact factor: 1.833

3.  A decision-based velocity ramp for minimizing the effect of misclassifications during real-time pattern recognition control.

Authors:  Ann M Simon; Levi J Hargrove; Blair A Lock; Todd A Kuiken
Journal:  IEEE Trans Biomed Eng       Date:  2011-05-16       Impact factor: 4.538

4.  Myoelectric Control System and Task-Specific Characteristics Affect Voluntary Use of Simultaneous Control.

Authors:  Lauren H Smith; Todd A Kuiken; Levi J Hargrove
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2015-03-06       Impact factor: 3.802

5.  Proportional myoelectric control of a virtual object to investigate human efferent control.

Authors:  Keith E Gordon; Daniel P Ferris
Journal:  Exp Brain Res       Date:  2004-07-16       Impact factor: 1.972

6.  Robotic lower limb exoskeletons using proportional myoelectric control.

Authors:  Daniel P Ferris; Cara L Lewis
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

7.  Training Strategies for Mitigating the Effect of Proportional Control on Classification in Pattern Recognition Based Myoelectric Control.

Authors:  Erik Scheme; Kevin Englehart
Journal:  J Prosthet Orthot       Date:  2013-04-01

8.  Real-time myoelectric control of a multi-fingered hand prosthesis using principal components analysis.

Authors:  Giulia C Matrone; Christian Cipriani; Maria Chiara Carrozza; Giovanni Magenes
Journal:  J Neuroeng Rehabil       Date:  2012-06-15       Impact factor: 4.262

9.  Multi-subject/daily-life activity EMG-based control of mechanical hands.

Authors:  Claudio Castellini; Angelo Emanuele Fiorilla; Giulio Sandini
Journal:  J Neuroeng Rehabil       Date:  2009-11-17       Impact factor: 4.262

10.  Electromyogram synergy control of a dexterous artificial hand to unscrew and screw objects.

Authors:  Benjamin A Kent; Nareen Karnati; Erik D Engeberg
Journal:  J Neuroeng Rehabil       Date:  2014-03-21       Impact factor: 4.262

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