Literature DB >> 26932980

Movement quality of conventional prostheses and the DEKA Arm during everyday tasks.

Jeffrey Cowley1, Linda Resnik2, Jason Wilken3, Lisa Smurr Walters3, Deanna Gates1.   

Abstract

BACKGROUND: Conventional prosthetic devices fail to restore the function and characteristic movement quality of the upper limb. The DEKA Arm is a new, advanced prosthesis featuring a compound, powered wrist and multiple grip configurations.
OBJECTIVES: The purpose of this study was to determine if the DEKA Arm improved the movement quality of upper limb prosthesis users compared to conventional prostheses. STUDY
DESIGN: Case series.
METHODS: Three people with transradial amputation completed tasks of daily life with their conventional prosthesis and with the DEKA Arm. A total of 10 healthy controls completed the same tasks. The trajectory of the wrist joint center was analyzed to determine how different prostheses affected movement duration, speed, smoothness, and curvature compared to patients' own intact limbs and controls.
RESULTS: Movement quality decreased with the DEKA Arm for two participants, and increased for the third. Prosthesis users made slower, less smooth, more curved movements with the prosthetic limb compared to the intact limb and controls, particularly when grasping and manipulating objects.
CONCLUSION: The effects of one month of training with the DEKA Arm on movement quality varied with participants' skill and experience with conventional prostheses. Future studies should examine changes in movement quality after long-term use of advanced prostheses. Clinical relevance Movement quality with the DEKA Arm may depend on the user's previous experience with conventional prostheses. Quantitative analyses are needed to assess the efficacy of novel prosthetic devices and to better understand how to train people to use them effectively.

Entities:  

Keywords:  Biomechanics in neuromuscular disorders; prosthetic design; testing of prosthetic and orthotic components; upper limb prosthetics

Mesh:

Year:  2016        PMID: 26932980      PMCID: PMC5511738          DOI: 10.1177/0309364616631348

Source DB:  PubMed          Journal:  Prosthet Orthot Int        ISSN: 0309-3646            Impact factor:   1.895


  32 in total

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2.  The DEKA Arm: its features, functionality, and evolution during the Veterans Affairs Study to optimize the DEKA Arm.

Authors:  Linda Resnik; Shana L Klinger; Katherine Etter
Journal:  Prosthet Orthot Int       Date:  2013-10-22       Impact factor: 1.895

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Authors:  Linda Resnik; Katherine Etter; Shana Lieberman Klinger; Charles Kambe
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4.  Training protocol for a powered shoulder prosthesis.

Authors:  Linda Resnik; Shana Lieberman Klinger; Kathryn Korp; Lisa Smurr Walters
Journal:  J Rehabil Res Dev       Date:  2014

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Authors:  C Fraser; A W Wing
Journal:  Prosthet Orthot Int       Date:  1981-12       Impact factor: 1.895

8.  Feedforward control strategies of subjects with transradial amputation in planar reaching.

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Journal:  J Rehabil Res Dev       Date:  2010

9.  Movement smoothness changes during stroke recovery.

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Journal:  J Neurosci       Date:  2002-09-15       Impact factor: 6.167

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Journal:  J Mot Behav       Date:  2009-11       Impact factor: 1.328

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  6 in total

1.  Comparison of DEKA Arm and Body-Powered Upper Limb Prosthesis Joint Kinematics.

Authors:  Conor Bloomer; Kimberly L Kontson
Journal:  Arch Rehabil Res Clin Transl       Date:  2020-04-25

2.  Application of machine learning to the identification of joint degrees of freedom involved in abnormal movement during upper limb prosthesis use.

Authors:  Sophie L Wang; Conor Bloomer; Gene Civillico; Kimberly Kontson
Journal:  PLoS One       Date:  2021-02-11       Impact factor: 3.240

3.  A novel framework for designing a multi-DoF prosthetic wrist control using machine learning.

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Journal:  Sci Rep       Date:  2021-07-22       Impact factor: 4.379

4.  Regenerative peripheral nerve interfaces for real-time, proportional control of a Neuroprosthetic hand.

Authors:  Christopher M Frost; Daniel C Ursu; Shane M Flattery; Andrej Nedic; Cheryl A Hassett; Jana D Moon; Patrick J Buchanan; R Brent Gillespie; Theodore A Kung; Stephen W P Kemp; Paul S Cederna; Melanie G Urbanchek
Journal:  J Neuroeng Rehabil       Date:  2018-11-20       Impact factor: 4.262

5.  User experience of controlling the DEKA Arm with EMG pattern recognition.

Authors:  Linda J Resnik; Frantzy Acluche; Shana Lieberman Klinger
Journal:  PLoS One       Date:  2018-09-21       Impact factor: 3.240

6.  Kinematic analysis of motor learning in upper limb body-powered bypass prosthesis training.

Authors:  Conor Bloomer; Sophie Wang; Kimberly Kontson
Journal:  PLoS One       Date:  2020-01-24       Impact factor: 3.240

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