Literature DB >> 19367522

Kinematic comparison of myoelectric and body powered prostheses while performing common activities.

Stephanie Lutton Carey1, Rajiv V Dubey, Greg S Bauer, M Jason Highsmith.   

Abstract

This study examined the kinematic differences of a bilateral transradial amputee using myoelectric and body-powered prostheses during select activities of daily living. First in harness suspended, body powered then self-suspended externally powered prostheses, the subject's shoulder and elbow joint movements were calculated and compared while completing an elbow range of motion test, simulated drinking from an empty cup, and opening a door. In this case, body-powered prostheses allowed for greater range of elbow flexion but required more shoulder flexion to complete the tasks that required continuous grasp. While using myoelectric prostheses, the user was able to compensate for limited elbow flexion by flexing the shoulder.

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Year:  2009        PMID: 19367522     DOI: 10.1080/03093640802613229

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


  6 in total

1.  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

2.  Development and performance of a new prosthesis system using ultrasonic sensor for wrist movements: a preliminary study.

Authors:  Nasrul Anuar Abd Razak; Noor Azuan Abu Osman; Hossein Gholizadeh; Sadeeq Ali
Journal:  Biomed Eng Online       Date:  2014-04-23       Impact factor: 2.819

3.  Flexible and static wrist units in upper limb prosthesis users: functionality scores, user satisfaction and compensatory movements.

Authors:  M Deijs; R M Bongers; N D M Ringeling-van Leusen; C K van der Sluis
Journal:  J Neuroeng Rehabil       Date:  2016-03-15       Impact factor: 4.262

4.  Quantitative Eye Gaze and Movement Differences in Visuomotor Adaptations to Varying Task Demands Among Upper-Extremity Prosthesis Users.

Authors:  Jacqueline S Hebert; Quinn A Boser; Aïda M Valevicius; Hiroki Tanikawa; Ewen B Lavoie; Albert H Vette; Patrick M Pilarski; Craig S Chapman
Journal:  JAMA Netw Open       Date:  2019-09-04

5.  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

6.  Comparison of range-of-motion and variability in upper body movements between transradial prosthesis users and able-bodied controls when executing goal-oriented tasks.

Authors:  Matthew J Major; Rebecca L Stine; Craig W Heckathorne; Stefania Fatone; Steven A Gard
Journal:  J Neuroeng Rehabil       Date:  2014-09-06       Impact factor: 4.262

  6 in total

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