Literature DB >> 10883390

Precision-grip force changes in the anatomical and prosthetic limb during predictable load increases.

D L Weeks1, S A Wallace, J T Noteboom.   

Abstract

This study examined precision-grip force applied to an instrumented test object held aloft while the weight of the object was predictably varied by transporting and placing loads (50, 100, or 200 g) atop the test object. Transport of the loads was performed either by the subject or the experimenter. Grip force was examined in four non-amputee control subjects and in the anatomical and prosthetic hand of a subject with a prosthetic device. As subjects transported the load, anticipatory grip-force changes occurred in the anatomical hands and prosthetic hand, which were scaled in relation to the load. When the experimenter transported the load to the anatomical hands of control subjects or the prosthetic user, anticipatory increases in grip force occurred that also were scaled in relation to load. However, when the experimenter transported the load to the prosthetic hand, anticipatory grip-force adjustments were absent. During the phase in which the load was being assumed by the postural hand, grip forces in the anatomical hands and prosthetic hand were further scaled to load demands. Ability to adapt grip force in the prosthetic hand during this phase suggested that the subject was utilizing sensory information from the residual limb to adjust grip force. Thus, while anticipatory changes precede the process of adaptation to load changes, actual sensory consequences resulting from added weight remain necessary to fully adapt grip force to load demands, even for the prosthetic user.

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Year:  2000        PMID: 10883390     DOI: 10.1007/s002210000337

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  8 in total

1.  Building an internal model of a myoelectric prosthesis via closed-loop control for consistent and routine grasping.

Authors:  Strahinja Dosen; Marko Markovic; Nicola Wille; Markus Henkel; Mario Koppe; Andrei Ninu; Cornelius Frömmel; Dario Farina
Journal:  Exp Brain Res       Date:  2015-03-25       Impact factor: 1.972

2.  Internal models of upper limb prosthesis users when grasping and lifting a fragile object with their prosthetic limb.

Authors:  Peter S Lum; Iian Black; Rahsaan J Holley; Jessica Barth; Alexander W Dromerick
Journal:  Exp Brain Res       Date:  2014-08-21       Impact factor: 1.972

3.  Control of grip force and vertical posture while holding an object and being perturbed.

Authors:  Bing Chen; Yun-Ju Lee; Alexander S Aruin
Journal:  Exp Brain Res       Date:  2016-07-15       Impact factor: 1.972

4.  Grip force control of predictable external loads.

Authors:  J Hermsdörfer; H Blankenfeld
Journal:  Exp Brain Res       Date:  2007-11-08       Impact factor: 1.972

5.  Time-based prediction in motor control: evidence from grip force response to external load perturbations.

Authors:  Hoi Fei Kwok; Alan M Wing
Journal:  Exp Brain Res       Date:  2006-06-13       Impact factor: 1.972

6.  Changes in performance over time while learning to use a myoelectric prosthesis.

Authors:  Hanneke Bouwsema; Corry K van der Sluis; Raoul M Bongers
Journal:  J Neuroeng Rehabil       Date:  2014-02-25       Impact factor: 4.262

7.  Effect of feedback during virtual training of grip force control with a myoelectric prosthesis.

Authors:  Hanneke Bouwsema; Corry K van der Sluis; Raoul M Bongers
Journal:  PLoS One       Date:  2014-05-27       Impact factor: 3.240

8.  Tactile feedback is an effective instrument for the training of grasping with a prosthesis at low- and medium-force levels.

Authors:  Alessandro Marco De Nunzio; Strahinja Dosen; Sabrina Lemling; Marko Markovic; Meike Annika Schweisfurth; Nan Ge; Bernhard Graimann; Deborah Falla; Dario Farina
Journal:  Exp Brain Res       Date:  2017-05-26       Impact factor: 1.972

  8 in total

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