Literature DB >> 26575620

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study.

Aidan Dominic Roche1, Ivan Vujaklija2, Sebastian Amsüss2, Agnes Sturma3, Peter Göbel4, Dario Farina2, Oskar C Aszmann5.   

Abstract

Advances in robotic systems have resulted in prostheses for the upper limb that can produce multifunctional movements. However, these sophisticated systems require upper limb amputees to learn complex control schemes. Humans have the ability to learn new movements through imitation and other learning strategies. This protocol describes a structured rehabilitation method, which includes imitation, repetition, and reinforcement learning, and aims to assess if this method can improve multifunctional prosthetic control. A left below elbow amputee, with 4 years of experience in prosthetic use, took part in this case study. The prosthesis used was a Michelangelo hand with wrist rotation, and the added features of wrist flexion and extension, which allowed more combinations of hand movements. The participant's Southampton Hand Assessment Procedure score improved from 58 to 71 following structured training. This suggests that a structured training protocol of imitation, repetition and reinforcement may have a role in learning to control a new prosthetic hand. A larger clinical study is however required to support these findings.

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Year:  2015        PMID: 26575620      PMCID: PMC4692693          DOI: 10.3791/52968

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  31 in total

1.  Cortical and subcortical mechanisms at the core of imitation.

Authors:  Justin H G Williams; Andrew Whiten; Gordon D Waiter; Stephen Pechey; David I Perrett
Journal:  Soc Neurosci       Date:  2007       Impact factor: 2.083

2.  Using virtual reality environment to facilitate training with advanced upper-limb prosthesis.

Authors:  Linda Resnik; Katherine Etter; Shana Lieberman Klinger; Charles Kambe
Journal:  J Rehabil Res Dev       Date:  2011

3.  An internal model for sensorimotor integration.

Authors:  D M Wolpert; Z Ghahramani; M I Jordan
Journal:  Science       Date:  1995-09-29       Impact factor: 47.728

4.  Development of human precision grip. V. anticipatory and triggered grip actions during sudden loading.

Authors:  A C Eliasson; H Forssberg; K Ikuta; I Apel; G Westling; R Johansson
Journal:  Exp Brain Res       Date:  1995       Impact factor: 1.972

5.  Occupational therapy protocol for amputees with targeted muscle reinnervation.

Authors:  Kathy A Stubblefield; Laura A Miller; Robert D Lipschutz; Todd A Kuiken
Journal:  J Rehabil Res Dev       Date:  2009

6.  Development of human precision grip. II. Anticipatory control of isometric forces targeted for object's weight.

Authors:  H Forssberg; H Kinoshita; A C Eliasson; R S Johansson; G Westling; A M Gordon
Journal:  Exp Brain Res       Date:  1992       Impact factor: 1.972

7.  Development of human precision grip. I: Basic coordination of force.

Authors:  H Forssberg; A C Eliasson; H Kinoshita; R S Johansson; G Westling
Journal:  Exp Brain Res       Date:  1991       Impact factor: 1.972

8.  Patient training for functional use of pattern recognition-controlled prostheses.

Authors:  Ann M Simon; Blair A Lock; Kathy A Stubblefield
Journal:  J Prosthet Orthot       Date:  2012-04

9.  Humans use continuous visual feedback from the hand to control fast reaching movements.

Authors:  Jeffrey A Saunders; David C Knill
Journal:  Exp Brain Res       Date:  2003-08-06       Impact factor: 1.972

10.  A Multi-Class Proportional Myocontrol Algorithm for Upper Limb Prosthesis Control: Validation in Real-Life Scenarios on Amputees.

Authors:  Sebastian Amsuess; Peter Goebel; Bernhard Graimann; Dario Farina
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2014-10-03       Impact factor: 3.802

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  8 in total

Review 1.  Bionic Prostheses: The Emerging Alternative to Vascularised Composite Allotransplantation of the Limb.

Authors:  Kavit R Amin; James E Fildes
Journal:  Front Surg       Date:  2022-05-06

2.  Translating Research on Myoelectric Control into Clinics-Are the Performance Assessment Methods Adequate?

Authors:  Ivan Vujaklija; Aidan D Roche; Timothy Hasenoehrl; Agnes Sturma; Sebastian Amsuess; Dario Farina; Oskar C Aszmann
Journal:  Front Neurorobot       Date:  2017-02-14       Impact factor: 2.650

3.  Game-Based Rehabilitation for Myoelectric Prosthesis Control.

Authors:  Cosima Prahm; Ivan Vujaklija; Fares Kayali; Peter Purgathofer; Oskar C Aszmann
Journal:  JMIR Serious Games       Date:  2017-02-09       Impact factor: 4.143

4.  Improving bimanual interaction with a prosthesis using semi-autonomous control.

Authors:  Robin Volkmar; Strahinja Dosen; Jose Gonzalez-Vargas; Marcus Baum; Marko Markovic
Journal:  J Neuroeng Rehabil       Date:  2019-11-14       Impact factor: 4.262

5.  User training for machine learning controlled upper limb prostheses: a serious game approach.

Authors:  Morten B Kristoffersen; Andreas W Franzke; Raoul M Bongers; Michael Wand; Alessio Murgia; Corry K van der Sluis
Journal:  J Neuroeng Rehabil       Date:  2021-02-12       Impact factor: 4.262

6.  Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis.

Authors:  Alexander Boschmann; Dorothee Neuhaus; Sarah Vogt; Christian Kaltschmidt; Marco Platzner; Strahinja Dosen
Journal:  J Neuroeng Rehabil       Date:  2021-02-04       Impact factor: 4.262

7.  Effect of multi-grip myoelectric prosthetic hands on daily activities, pain-related disability and prosthesis use compared with single-grip myoelectric prostheses: A single-case study.

Authors:  Cathrine Widehammar; Ayako Hiyoshi; Kajsa Lidström Holmqvist; Helen Lindner; Liselotte Hermansson
Journal:  J Rehabil Med       Date:  2022-01-03       Impact factor: 2.912

8.  Extra-neural signals from severed nerves enable intrinsic hand movements in transhumeral amputations.

Authors:  Bahareh Ahkami; Enzo Mastinu; Eric J Earley; Max Ortiz-Catalan
Journal:  Sci Rep       Date:  2022-06-17       Impact factor: 4.996

  8 in total

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