Literature DB >> 17271381

Monitoring functional arm movement for home-based therapy after stroke.

R Sanchez1, D Reinkensmeyer, P Shah, J Liu, S Rao, R Smith, S Cramer, T Rahman, J Bobrow.   

Abstract

The goal of this project is to develop a means for individuals with stroke to practice arm movement therapy at home with remote monitoring. We previously developed a Web-based system for repetitive movement training (Java Therapy). This paper describes a new input device for the system that measures and assists in naturalistic arm movement, as well as software enhancements. The new input device is an instrumented, adult-sized version of Wilmington robotic exoskeleton (WREX), which is a five degrees-of-freedom orthosis that counterbalances the weight of the arm using elastic bands. To test the ability of the new device (Training-WREX or "T-WREX") to measure and assist in functional arm movements, we measured five chronic stroke subjects' movement ability while wearing the orthosis without gravity balance compared to wearing the orthosis with gravity balance. T-WREX's gravity balance function improved a clinical measure of arm movement (Fugl-Meyer Score), range of motion of reaching movements, and accuracy of drawing movements. Coupled with an enhanced version of Java Therapy, T-WREX will thus provide a means to assist functional arm movement training at home, either over the Web in real-time, or stand-alone with periodic communication with a remote site.

Entities:  

Year:  2004        PMID: 17271381     DOI: 10.1109/IEMBS.2004.1404325

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


  11 in total

Review 1.  Pneumatic robotic systems for upper limb rehabilitation.

Authors:  Ricardo Morales; Francisco Javier Badesa; Nicolás García-Aracil; José María Sabater; Carlos Pérez-Vidal
Journal:  Med Biol Eng Comput       Date:  2011-08-06       Impact factor: 2.602

Review 2.  Advances in upper limb stroke rehabilitation: a technology push.

Authors:  Rui C V Loureiro; William S Harwin; Kiyoshi Nagai; Michelle Johnson
Journal:  Med Biol Eng Comput       Date:  2011-07-20       Impact factor: 2.602

3.  Robustness and Tracking Performance Evaluation of PID Motion Control of 7 DoF Anthropomorphic Exoskeleton Robot Assisted Upper Limb Rehabilitation.

Authors:  Tanvir Ahmed; Md Rasedul Islam; Brahim Brahmi; Mohammad Habibur Rahman
Journal:  Sensors (Basel)       Date:  2022-05-14       Impact factor: 3.847

4.  The Armeo Spring as training tool to improve upper limb functionality in multiple sclerosis: a pilot study.

Authors:  Domien Gijbels; Ilse Lamers; Lore Kerkhofs; Geert Alders; Els Knippenberg; Peter Feys
Journal:  J Neuroeng Rehabil       Date:  2011-01-24       Impact factor: 4.262

5.  Validation of a mechanism to balance exercise difficulty in robot-assisted upper-extremity rehabilitation after stroke.

Authors:  Lukas Zimmerli; Carmen Krewer; Roger Gassert; Friedemann Müller; Robert Riener; Lars Lünenburger
Journal:  J Neuroeng Rehabil       Date:  2012-02-03       Impact factor: 4.262

Review 6.  A survey on robotic devices for upper limb rehabilitation.

Authors:  Paweł Maciejasz; Jörg Eschweiler; Kurt Gerlach-Hahn; Arne Jansen-Troy; Steffen Leonhardt
Journal:  J Neuroeng Rehabil       Date:  2014-01-09       Impact factor: 4.262

Review 7.  Literature Review on the Effects of tDCS Coupled with Robotic Therapy in Post Stroke Upper Limb Rehabilitation.

Authors:  Davide Simonetti; Loredana Zollo; Stefano Milighetti; Sandra Miccinilli; Marco Bravi; Federico Ranieri; Giovanni Magrone; Eugenio Guglielmelli; Vincenzo Di Lazzaro; Silvia Sterzi
Journal:  Front Hum Neurosci       Date:  2017-05-23       Impact factor: 3.169

8.  Music meets robotics: a prospective randomized study on motivation during robot aided therapy.

Authors:  Kilian Baur; Florina Speth; Aniket Nagle; Robert Riener; Verena Klamroth-Marganska
Journal:  J Neuroeng Rehabil       Date:  2018-08-16       Impact factor: 4.262

Review 9.  A Review of Robotics in Neurorehabilitation: Towards an Automated Process for Upper Limb.

Authors:  E D Oña; R Cano-de la Cuerda; P Sánchez-Herrera; C Balaguer; A Jardón
Journal:  J Healthc Eng       Date:  2018-04-01       Impact factor: 2.682

10.  The Effectiveness of Wearable Upper Limb Assistive Devices in Degenerative Neuromuscular Diseases: A Systematic Review and Meta-Analysis.

Authors:  Marta Gandolla; Alberto Antonietti; Valeria Longatelli; Alessandra Pedrocchi
Journal:  Front Bioeng Biotechnol       Date:  2020-01-24
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