Literature DB >> 17436874

Telerehabilitation using a virtual environment improves upper extremity function in patients with stroke.

Maureen K Holden1, Thomas A Dyar, Lilian Dayan-Cimadoro.   

Abstract

In this paper, we describe our experience in designing a virtual environment-based (VE) telerehabilitation system, and the results of a clinical study of the first 11 subjects with stroke to use the system. Our telerehabilitation system allows a therapist to conduct interactive VE treatment sessions remotely with a patient who is located at home. The system, software architecture, and development experience are described. Results of the clinical study on subjects with stroke showed significant improvements in upper extremity function following 30 1-h VE treatment sessions as measured by three standard clinical tests: Fugl-Meyer test of motor recovery (FM) (p < 0.0001), Wolf motor test (WMT) (p = 0.0097, and shoulder strength (ShS) (p = 0.0027). Grip strength (GS) showed a trend toward improvement (p = 0.025). These changes were maintained, for the most part, at four-months follow-up (FM +7.6, WMT -18.4 s, ShS, +169%, GS, +53%).

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Year:  2007        PMID: 17436874     DOI: 10.1109/TNSRE.2007.891388

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


  28 in total

1.  Overview of telehealth and its application to cardiopulmonary physical therapy.

Authors:  Donald K Shaw
Journal:  Cardiopulm Phys Ther J       Date:  2009-06

2.  Pilot study to test effectiveness of video game on reaching performance in stroke.

Authors:  Ana Maria Acosta; Hendrik A Dewald; Jules P A Dewald
Journal:  J Rehabil Res Dev       Date:  2011

3.  Active-passive bilateral therapy as a priming mechanism for individuals in the subacute phase of post-stroke recovery: a feasibility study.

Authors:  Mary Ellen Stoykov; James W Stinear
Journal:  Am J Phys Med Rehabil       Date:  2010-11       Impact factor: 2.159

4.  Home-based technologies for stroke rehabilitation: A systematic review.

Authors:  Yu Chen; Kingsley Travis Abel; John T Janecek; Yunan Chen; Kai Zheng; Steven C Cramer
Journal:  Int J Med Inform       Date:  2018-12-11       Impact factor: 4.046

5.  Complex versus simple ankle movement training in stroke using telerehabilitation: a randomized controlled trial.

Authors:  Huiqiong Deng; William K Durfee; David J Nuckley; Brandon S Rheude; Amy E Severson; Katie M Skluzacek; Kristen K Spindler; Cynthia S Davey; James R Carey
Journal:  Phys Ther       Date:  2011-11-17

Review 6.  Sensorimotor training in virtual reality: a review.

Authors:  Sergei V Adamovich; Gerard G Fluet; Eugene Tunik; Alma S Merians
Journal:  NeuroRehabilitation       Date:  2009       Impact factor: 2.138

7.  A virtual reality-based system integrated with fmri to study neural mechanisms of action observation-execution: a proof of concept study.

Authors:  S V Adamovich; K August; A Merians; E Tunik
Journal:  Restor Neurol Neurosci       Date:  2009       Impact factor: 2.406

8.  Low-cost tele-assessment system for home-based evaluation of reaching ability following stroke.

Authors:  Chi-Lun Rau; Ya-Ping Chen; Jin-Shin Lai; Shih-Ching Chen; Te-Son Kuo; Fu-Shan Jaw; Jer-Junn Luh
Journal:  Telemed J E Health       Date:  2013-10-19       Impact factor: 3.536

9.  Combining levodopa and virtual reality-based therapy for rehabilitation of the upper limb after acute stroke: pilot study Part II.

Authors:  Geoffrey Sithamparapillai Samuel; Nicodemus Edrick Oey; Min Choo; Han Ju; Wai Yin Chan; Stanley Kok; Yu Ge; Antonius M Van Dongen; Yee Sien Ng
Journal:  Singapore Med J       Date:  2016-06-17       Impact factor: 1.858

Review 10.  Upper Limb Home-Based Robotic Rehabilitation During COVID-19 Outbreak.

Authors:  Hemanth Manjunatha; Shrey Pareek; Sri Sadhan Jujjavarapu; Mostafa Ghobadi; Thenkurussi Kesavadas; Ehsan T Esfahani
Journal:  Front Robot AI       Date:  2021-05-24
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