Literature DB >> 25675462

Is it Finger or Wrist Dexterity That is Missing in Current Hand Prostheses?

Federico Montagnani, Marco Controzzi, Christian Cipriani.   

Abstract

Building prostheses with dexterous motor function equivalent to that of the human hand is one of the ambitious goals of bioengineers. State of art prostheses lack several degrees of freedom (DoF) and force the individuals to compensate for them by changing the motions of their arms and body. However, such compensatory movements often result in residual limb pain and overuse syndromes. Significant efforts were spent in designing artificial hands with multiple allowed grasps but little work has been done with regards to wrist design, regardless the fact that the wrist contributes significantly to the execution of upper limb motor tasks. We hypothesized that a single DoF hand with wrist flexion/extension allowed function comparable to a highly performant multi DoF hand without wrist flexion/extension. To assess this we compared four emulated architectures of hand-wrist prostheses using the Southampton Hand Assessment Procedure and evaluating the extent of compensatory movements with unimpaired subjects wearing ortheses. Our findings show indeed that shifting the dexterity from the hand to the wrist could preserve the ability of transradial amputees in performing common tasks with limited effect on the compensatory movements. Hence, this study invites rehabilitation engineers to focus on novel artificial wrist architectures.

Entities:  

Mesh:

Year:  2015        PMID: 25675462     DOI: 10.1109/TNSRE.2015.2398112

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  12 in total

Review 1.  Improving the functionality, robustness, and adaptability of myoelectric control for dexterous motion restoration.

Authors:  Dapeng Yang; Yikun Gu; Nitish V Thakor; Hong Liu
Journal:  Exp Brain Res       Date:  2018-11-30       Impact factor: 1.972

2.  User surveys support designing a prosthetic wrist that incorporates the Dart Thrower's Motion.

Authors:  Matthew Davidson; Cathy Bodine; Richard F Ff Weir
Journal:  Disabil Rehabil Assist Technol       Date:  2018-03-07

3.  Understanding Limb Position and External Load Effects on Real-Time Pattern Recognition Control in Amputees.

Authors:  Yuni Teh; Levi J Hargrove
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2020-05-11       Impact factor: 3.802

4.  Evaluation of a Simultaneous Myoelectric Control Strategy for a Multi-DoF Transradial Prosthesis.

Authors:  Cristina Piazza; Matteo Rossi; Manuel G Catalano; Antonio Bicchi; Levi J Hargrove
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2020-08-17       Impact factor: 4.528

5.  Evaluating EMG Feature and Classifier Selection for Application to Partial-Hand Prosthesis Control.

Authors:  Adenike A Adewuyi; Levi J Hargrove; Todd A Kuiken
Journal:  Front Neurorobot       Date:  2016-10-19       Impact factor: 2.650

6.  Resolving the effect of wrist position on myoelectric pattern recognition control.

Authors:  Adenike A Adewuyi; Levi J Hargrove; Todd A Kuiken
Journal:  J Neuroeng Rehabil       Date:  2017-05-04       Impact factor: 4.262

7.  Online mapping of EMG signals into kinematics by autoencoding.

Authors:  Ivan Vujaklija; Vahid Shalchyan; Ernest N Kamavuako; Ning Jiang; Hamid R Marateb; Dario Farina
Journal:  J Neuroeng Rehabil       Date:  2018-03-13       Impact factor: 4.262

8.  Design and Assessment of Control Maps for Multi-Channel sEMG-Driven Prostheses and Supernumerary Limbs.

Authors:  Michele Maimeri; Cosimo Della Santina; Cristina Piazza; Matteo Rossi; Manuel G Catalano; Giorgio Grioli
Journal:  Front Neurorobot       Date:  2019-05-29       Impact factor: 2.650

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

Authors:  Chinmay P Swami; Nicholas Lenhard; Jiyeon Kang
Journal:  Sci Rep       Date:  2021-07-22       Impact factor: 4.379

10.  Independent Long Fingers are not Essential for a Grasping Hand.

Authors:  Federico Montagnani; Marco Controzzi; Christian Cipriani
Journal:  Sci Rep       Date:  2016-10-19       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.