Literature DB >> 7790019

Performance of above elbow body-powered prostheses in visually guided unconstrained motion tasks.

J A Doeringer1, N Hogan.   

Abstract

The "classical" body-powered above elbow arm prosthesis continues to be used by a large majority of arm prosthesis users, even though many more modern devices are available. This paper presents a set of experiments designed to compare performance of unimpaired arms and body-powered prostheses of six unilateral amputees. The experiments were designed to measure quantitatively how well the body-powered prosthesis can be used to perform free-motion tasks, as well as to study the qualitative features of movement common to both the prosthesis and unimpaired arm. It was found that regular peaks in velocity were common to both the unimpaired arm and prosthesis movements, suggesting that movements were composed of a sequence of successive actions. In addition, it was found that the body-powered prosthesis generally required more movements than the unimpaired arm to meet an accuracy constraint and could not keep up with the unimpaired arm when a speed constraint was imposed, even though the body-powered prosthesis was able to match the unimpaired arm in a simple nondynamic task.

Mesh:

Year:  1995        PMID: 7790019     DOI: 10.1109/10.387202

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  8 in total

1.  Connectivity analysis as a novel approach to motor decoding for prosthesis control.

Authors:  Heather L Benz; Huaijian Zhang; Anastasios Bezerianos; Soumyadipta Acharya; Nathan E Crone; Xioaxiang Zheng; Nitish V Thakor
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2011-11-08       Impact factor: 3.802

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

Authors:  Jeffrey Cowley; Linda Resnik; Jason Wilken; Lisa Smurr Walters; Deanna Gates
Journal:  Prosthet Orthot Int       Date:  2016-07-09       Impact factor: 1.895

3.  Hand motion classification using a multi-channel surface electromyography sensor.

Authors:  Xueyan Tang; Yunhui Liu; Congyi Lv; Dong Sun
Journal:  Sensors (Basel)       Date:  2012-01-30       Impact factor: 3.576

Review 4.  Toward higher-performance bionic limbs for wider clinical use.

Authors:  Dario Farina; Ivan Vujaklija; Rickard Brånemark; Anthony M J Bull; Hans Dietl; Bernhard Graimann; Levi J Hargrove; Klaus-Peter Hoffmann; He Helen Huang; Thorvaldur Ingvarsson; Hilmar Bragi Janusson; Kristleifur Kristjánsson; Todd Kuiken; Silvestro Micera; Thomas Stieglitz; Agnes Sturma; Dustin Tyler; Richard F Ff Weir; Oskar C Aszmann
Journal:  Nat Biomed Eng       Date:  2021-05-31       Impact factor: 25.671

5.  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

6.  A biosignal analysis for reducing prosthetic control durations: a proposed method using electromyographic and mechanomyographic control theory.

Authors:  Cory M Smith; Terry J Housh; Ethan C Hill; Joshua L Keller; Glen O Johnson; Richard J Schmidt
Journal:  J Musculoskelet Neuronal Interact       Date:  2019-06-01       Impact factor: 2.041

7.  Testing Precision and Accuracy of an Upper Extremity Proprioceptive Targeting Task Assessment.

Authors:  Julia A Dunn; Carolyn E Taylor; Bob Wong; Heath B Henninger; Kent N Bachus; Kenneth B Foreman
Journal:  Arch Rehabil Res Clin Transl       Date:  2022-05-11

8.  Audible Feedback Improves Internal Model Strength and Performance of Myoelectric Prosthesis Control.

Authors:  Ahmed W Shehata; Erik J Scheme; Jonathon W Sensinger
Journal:  Sci Rep       Date:  2018-06-04       Impact factor: 4.379

  8 in total

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