Literature DB >> 10761773

A virtual-reality-based telerehabilitation system with force feedback.

V G Popescu1, G C Burdea, M Bouzit, V R Hentz.   

Abstract

A PC-based orthopedic rehabilitation system was developed for use at home, while allowing remote monitoring from the clinic. The home rehabilitation station has a Pentium II PC with graphics accelerator, a Polhemus tracker, and a multipurpose haptic control interface. This novel interface is used to sample a patient's hand positions and to provide resistive forces using the Rutgers Master II (RMII) glove. A library of virtual rehabilitation routines was developed using WorldToolKit software. At the present time, it consists of three physical therapy exercises (DigiKey, ball, and power putty) and two functional rehabilitation exercises (peg board and ball game). These virtual reality exercises allow automatic and transparent patient data collection into an Oracle database. A remote Pentium II PC is connected with the home-based PC over the Internet and an additional video conferencing connection. The remote computer is running an Oracle server to maintain the patient database, monitor progress, and change the exercise level of difficulty. This allows for patient progress monitoring and repeat evaluations over time. The telerehabilitation system is in clinical trails at Stanford Medical School (CA), with progress being monitored from Rutgers University (NJ). Other haptic interfaces currently under development include devices for elbow and knee rehabilitation connected to the same system.

Entities:  

Mesh:

Year:  2000        PMID: 10761773     DOI: 10.1109/4233.826858

Source DB:  PubMed          Journal:  IEEE Trans Inf Technol Biomed        ISSN: 1089-7771


  13 in total

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7.  An evaluation framework for a rural home-based telerehabilitation network.

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8.  A fully immersive set-up for remote interaction and neurorehabilitation based on virtual body ownership.

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Review 9.  A survey on robotic devices for upper limb rehabilitation.

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10.  Vision-Based Pose Estimation for Robot-Mediated Hand Telerehabilitation.

Authors:  Giuseppe Airò Farulla; Daniele Pianu; Marco Cempini; Mario Cortese; Ludovico O Russo; Marco Indaco; Roberto Nerino; Antonio Chimienti; Calogero M Oddo; Nicola Vitiello
Journal:  Sensors (Basel)       Date:  2016-02-05       Impact factor: 3.576

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