Virtual Reality Mobile Platform for Restoring Upper Limbs Functions using Electromiography Data
Authors: Samman A., Shakhnov V.A. | Published: 11.09.2021 |
Published in issue: #3(136)/2021 | |
DOI: 10.18698/0236-3933-2021-3-84-99 | |
Category: Informatics, Computer Engineering and Control | Chapter: Elements and Devices of Computer Engineering and Control Systems | |
Keywords: electromyography, biofeed-back, mobile platform, restoration of upper limb functions, rehabilitation, virtual reality |
The article describes a mobile virtual reality platform based on the biological feedback of electromyography for restoring the functions of the upper limbs of people affected by accidents, stroke, Parkinson's disease or who suffered as a result of military operations. The definition of the electromyography (EMG) signal is given. The effectiveness of the biological feedback method in the rehabilitation process is indicated. The problem of initial data preprocessing is considered in order to identify the informative features of the EMG signal in the time domain. The general scheme of a mobile virtual reality platform based on biological feedback is described and preliminary evidence of the platform capability in its current state is presented. The block diagram of the EMG data acquisition module is developed. Developing a training program within the framework of computer games in two-dimensional or three-dimensional space is proposed. The algorithm of the mobile virtual reality platform based on the biological feedback of electromyography is illustrated. The results of the implementation of the proposed biofeedback electromyography system are presented. The advantages of the developed system in comparison with other systems currently available are emphasized; the disadvantages of this method are identified and ways to eliminate them are proposed
Some results were obtained with the financial supported by the Ministry of Education and Science of the Russian Federation (project no. 0705-2020-0041 "Fundamental research of methods for digital transformation of the component base of micro- and nanosystems")
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