Motion Rehab AVE 3D: A VR-based exergame for post-stroke rehabilitation.

Comput Methods Programs Biomed

Universidade de Passo Fundo, BR 285 Km 292.7, Bairro São José, Passo Fundo, RS, Zip Code 99052-900, Brazil. Electronic address:

Published: November 2017

Background And Objective: Recent researches about games for post-stroke rehabilitation have been increasing, focusing in upper limb, lower limb and balance situations, and showing good experiences and results. With this in mind, this paper presents Motion Rehab AVE 3D, a serious game for post-stroke rehabilitation of patients with mild stroke. The aim is offer a new technology in order to assist the traditional therapy and motivate the patient to execute his/her rehabilitation program, under health professional supervision.

Methods: The game was developed with Unity game engine, supporting Kinect motion sensing input device and display devices like Smart TV 3D and Oculus Rift. It contemplates six activities considering exercises in a tridimensional space: flexion, abduction, shoulder adduction, horizontal shoulder adduction and abduction, elbow extension, wrist extension, knee flexion, and hip flexion and abduction. Motion Rehab AVE 3D also report about hits and errors to the physiotherapist evaluate the patient's progress.

Results: A pilot study with 10 healthy participants (61-75 years old) tested one of the game levels. They experienced the 3D user interface in third-person. Our initial goal was to map a basic and comfortable setup of equipment in order to adopt later. All the participants (100%) classified the interaction process as interesting and amazing for the age, presenting a good acceptance.

Conclusions: Our evaluation showed that the game could be used as a useful tool to motivate the patients during rehabilitation sessions. Next step is to evaluate its effectiveness for stroke patients, in order to verify if the interface and game exercises contribute into the motor rehabilitation treatment progress.

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Source
http://dx.doi.org/10.1016/j.cmpb.2017.08.008DOI Listing

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