Objective: To examine the effect of various forms of training interventions, with and without virtual reality, on the initiation and maintenance of active participation during robot-assisted gait training. Design: Intervention study at the Rehabilitation Centre Affoltern a. A., University Children’s Hospital, Zurich. Subjects: Ten patients (5 males, mean age 12.47 years, standard deviation 1.84 years) with different neurological gait disorders and 14 healthy children (7 males, mean age 11.76 years, standard deviation 2.75 years). Methods: All participants walked in the driven gait orthosis Lokomat® in 4 different randomly-assigned conditions. Biofeedback values calculated during swing phases were the primary outcome measure and secondary outcomes were derived from a questionnaire assessing the participant’s motivation. Results: Findings revealed a significant main effect for training condition in all participants (p<0.001), for patients (p<0.05) and for healthy controls (p<0.01). Overall, both virtual reality-assisted therapy approaches were equally the most effective in initiating the desired active participation in all children, compared with conventional training conditions. Motivation was very high and differed between the groups only in the virtual navigation condition. Conclusion: Novel virtual reality-based training conditions represent a valuable approach to enhance active participation during robot-assisted gait training in patients and healthy controls.


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    Title :

    Virtual reality for enhancement of robot-assisted gait training in children with central gait disorders



    Publication date :

    2011-01-01


    Remarks:

    Brütsch, K; Koenig, Alexander; Zimmerli, Lukas; Mérillat-Koeneke, S; Riener, Robert; Jäncke, Lutz; van Hedel, Hubertus J A; Meyer-Heim, Andreas (2011). Virtual reality for enhancement of robot-assisted gait training in children with central gait disorders. Journal of Rehabilitation Medicine, 43(6):493-499.



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629



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