↓ Skip to main content

PLOS

Effect of Feedback during Virtual Training of Grip Force Control with a Myoelectric Prosthesis

Overview of attention for article published in PLOS ONE, May 2014
Altmetric Badge

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
112 Mendeley
Title
Effect of Feedback during Virtual Training of Grip Force Control with a Myoelectric Prosthesis
Published in
PLOS ONE, May 2014
DOI 10.1371/journal.pone.0098301
Pubmed ID
Authors

Hanneke Bouwsema, Corry K. van der Sluis, Raoul M. Bongers

Abstract

The aim of this study was to determine whether virtual training improves grip force control in prosthesis use, and to examine which type of augmented feedback facilitates its learning most. Thirty-two able-bodied participants trained grip force with a virtual ball-throwing game for five sessions in a two-week period, using a myoelectric simulator. They received either feedback on movement outcome or on movement execution. Sixteen controls received training that did not focus on force control. Variability over learning was examined with the Tolerance-Noise-Covariation approach, and the transfer of grip force control was assessed in five test-tasks that assessed different aspects of force control in a pretest, a posttest and a retention test. During training performance increased while the variability in performance was decreased, mainly by reduction in noise. Grip force control only improved in the test-tasks that provided information on performance. Starting the training with a task that required low force production showed no transfer of the learned grip force. Feedback on movement execution was detrimental to grip force control, whereas feedback on movement outcome enhanced transfer of grip force control to tasks other than trained. Clinical implications of these results regarding virtual training of grip force control are discussed.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Netherlands 1 <1%
Germany 1 <1%
Unknown 107 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 18%
Researcher 19 17%
Student > Bachelor 18 16%
Student > Doctoral Student 10 9%
Student > Master 9 8%
Other 16 14%
Unknown 20 18%
Readers by discipline Count As %
Engineering 35 31%
Medicine and Dentistry 15 13%
Computer Science 8 7%
Neuroscience 7 6%
Agricultural and Biological Sciences 6 5%
Other 17 15%
Unknown 24 21%