Literature DB >> 25571512

Grasp and force based taxonomy of split-hook prosthetic terminal devices.

Joseph T Belter, Bo C Reynolds, Aaron M Dollar.   

Abstract

In this paper, we analyze the use of the body-powered split-hook prosthetic terminal device, which is the most commonly used upper-limb prosthesis. We developed two taxonomies of split-hook use, one on grasp shape and one on force exertion, illustrating the functional capabilities and use cases of the device. Video captured from an amputee using a body-powered split-hook during a number of common activities was used to lend weight to the completeness of the classifications. These taxonomies serve to establish a common language and means of comparing the types of grasps achievable by simple terminal devices to those of advanced myoelectric terminal devices or even human hands. The first taxonomy categorizes the grasp type based on the contacts with the environment while the second is categorized by the method and limitation of force exertion. We discuss the difference between grasps capable of holding objects compared to those that are capable of acquiring objects and the importance of non-prehensile uses of the split-hook. The classification schemes lay the groundwork for further detailed study of split-hook use, and the discussion of the use cases described may help guide terminal device developers to create improved prostheses.

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Year:  2014        PMID: 25571512     DOI: 10.1109/EMBC.2014.6945144

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  5 in total

1.  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

2.  A Prosthetic Hand Body Area Controller Based on Efficient Pattern Recognition Control Strategies.

Authors:  Simone Benatti; Bojan Milosevic; Elisabetta Farella; Emanuele Gruppioni; Luca Benini
Journal:  Sensors (Basel)       Date:  2017-04-15       Impact factor: 3.576

3.  Technology for monitoring everyday prosthesis use: a systematic review.

Authors:  Alix Chadwell; Laura Diment; M Micó-Amigo; Dafne Z Morgado Ramírez; Alex Dickinson; Malcolm Granat; Laurence Kenney; Sisary Kheng; Mohammad Sobuh; Robert Ssekitoleko; Peter Worsley
Journal:  J Neuroeng Rehabil       Date:  2020-07-14       Impact factor: 4.262

4.  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

5.  Internet of Things for beyond-the-laboratory prosthetics research.

Authors:  Hancong Wu; Matthew Dyson; Kianoush Nazarpour
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2022-06-06       Impact factor: 4.019

  5 in total

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