Literature DB >> 17436870

A virtual reality environment for designing and fitting neural prosthetic limbs.

Markus Hauschild1, Rahman Davoodi, Gerald E Loeb.   

Abstract

Building and testing novel prosthetic limbs and control algorithms for functional electrical stimulation (FES) is expensive and risky. Here, we describe a virtual reality environment (VRE) to facilitate and accelerate the development of novel systems. In the VRE, subjects/patients can operate a simulated limb to interact with virtual objects. Realistic models of all relevant musculoskeletal and mechatronic components allow the development of entire prosthetic systems in VR before introducing them to the patient. The system is used both by engineers as a development tool and by clinicians to fit prosthetic devices to patients.

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Year:  2007        PMID: 17436870     DOI: 10.1109/TNSRE.2007.891369

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


  11 in total

1.  Man-machine interface system for neuromuscular training and evaluation based on EMG and MMG signals.

Authors:  Ramon de la Rosa; Alonso Alonso; Albano Carrera; Ramon Durán; Patricia Fernández
Journal:  Sensors (Basel)       Date:  2010-12-07       Impact factor: 3.576

2.  Virtual reality hardware and graphic display options for brain-machine interfaces.

Authors:  Amar R Marathe; Holle L Carey; Dawn M Taylor
Journal:  J Neurosci Methods       Date:  2007-09-29       Impact factor: 2.390

3.  A platform for dynamic simulation and control of movement based on OpenSim and MATLAB.

Authors:  Misagh Mansouri; Jeffrey A Reinbolt
Journal:  J Biomech       Date:  2012-03-30       Impact factor: 2.712

4.  A real-time, 3-D musculoskeletal model for dynamic simulation of arm movements.

Authors:  Edward K Chadwick; Dimitra Blana; Antonie J Ton van den Bogert; Robert F Kirsch
Journal:  IEEE Trans Biomed Eng       Date:  2008-09-26       Impact factor: 4.538

5.  Virtual reality environment for simulating tasks with a myoelectric prosthesis: an assessment and training tool.

Authors:  Joris M Lambrecht; Christopher L Pulliam; Robert F Kirsch
Journal:  J Prosthet Orthot       Date:  2011-04

6.  A training platform for many-dimensional prosthetic devices using a virtual reality environment.

Authors:  David Putrino; Yan T Wong; Adam Weiss; Bijan Pesaran
Journal:  J Neurosci Methods       Date:  2014-04-13       Impact factor: 2.390

7.  Deleterious Musculoskeletal Conditions Secondary to Lower Limb Loss: Considerations for Prosthesis-Related Factors.

Authors:  Ashley D Knight; Christopher L Dearth; Brad D Hendershot
Journal:  Adv Wound Care (New Rochelle)       Date:  2020-05-22       Impact factor: 4.730

8.  The development of a myoelectric training tool for above-elbow amputees.

Authors:  Michael R Dawson; Farbod Fahimi; Jason P Carey
Journal:  Open Biomed Eng J       Date:  2012-02-20

9.  Shoulder kinematics plus contextual target information enable control of multiple distal joints of a simulated prosthetic arm and hand.

Authors:  Sébastien Mick; Effie Segas; Lucas Dure; Christophe Halgand; Jenny Benois-Pineau; Gerald E Loeb; Daniel Cattaert; Aymar de Rugy
Journal:  J Neuroeng Rehabil       Date:  2021-01-06       Impact factor: 4.262

10.  Virtual Integration Environment as an Advanced Prosthetic Limb Training Platform.

Authors:  Briana N Perry; Robert S Armiger; Kristin E Yu; Ali A Alattar; Courtney W Moran; Mikias Wolde; Kayla McFarland; Paul F Pasquina; Jack W Tsao
Journal:  Front Neurol       Date:  2018-10-17       Impact factor: 4.003

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