Literature DB >> 7410469

The below-elbow myo-electric prosthesis. A comparison of the Otto Bock myo-electric prosthesis with the hook and functional hand.

M D Northmore-Ball, H Heger, G A Hunter.   

Abstract

The place of the myo-electric prosthesis in below-elbow amputees has been reviewed. Forty-three patients were seen and all possessed both a myo-electric prosthesis and a standard artificial limb. Nearly half the patients used the newer device almost all the time at work and many of these wore it for the majority of their waking hours. Its use at work was mainly related to the patient's type of job and here in turn there was concern about damaging the device. It is suggested that acceptance would be further increased if greater attention were paid to the durability of the arm and its glove. Criteria for prescription and future developments are discussed.

Entities:  

Mesh:

Year:  1980        PMID: 7410469

Source DB:  PubMed          Journal:  J Bone Joint Surg Br        ISSN: 0301-620X


  5 in total

1.  Reassessing myoelectric control: is it time to look at alternatives?

Authors:  R E Lee
Journal:  CMAJ       Date:  1987-03-01       Impact factor: 8.262

2.  Case-study of a user-driven prosthetic arm design: bionic hand versus customized body-powered technology in a highly demanding work environment.

Authors:  Wolf Schweitzer; Michael J Thali; David Egger
Journal:  J Neuroeng Rehabil       Date:  2018-01-03       Impact factor: 4.262

3.  Visualisation of upper limb activity using spirals: A new approach to the assessment of daily prosthesis usage.

Authors:  Alix Chadwell; Laurence Kenney; Malcolm Granat; Sibylle Thies; John S Head; Adam Galpin
Journal:  Prosthet Orthot Int       Date:  2017-06-26       Impact factor: 1.895

4.  Bionic reconstruction : Restoration of extremity function with osseointegrated and mind-controlled prostheses.

Authors:  Martin Aman; Christopher Festin; Matthias E Sporer; Clemens Gstoettner; Cosima Prahm; Konstantin D Bergmeister; Oskar C Aszmann
Journal:  Wien Klin Wochenschr       Date:  2019-06-14       Impact factor: 1.704

5.  Enhanced Recognition of Amputated Wrist and Hand Movements by Deep Learning Method Using Multimodal Fusion of Electromyography and Electroencephalography.

Authors:  Sehyeon Kim; Dae Youp Shin; Taekyung Kim; Sangsook Lee; Jung Keun Hyun; Sung-Min Park
Journal:  Sensors (Basel)       Date:  2022-01-16       Impact factor: 3.576

  5 in total

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