Rehabilitation Training System for the Motor Deficit of Upper Extremity

Author

Deqiang Han ; Zongxia Wang ; Weicheng Xu ; Nian Wang

Author_Institution

Coll. of Comput. Sci. & Technol., Beijing Univ. of Technol., Beijing, China

fYear

2015

fDate

25-27 March 2015

Firstpage

162

Lastpage

166

Abstract

This paper proposes an overall solution of the rehabilitation training system for the motor deficit of upper extremity, which is based on the Intel Senz3D camera, Bay Trail processor platform and Intel Galileo. This system can adjust the rehabilitation plan according to the user´s different diseases and recovery to draw up a scientific, interesting and comprehensive rehabilitation plan. What´s more, the Intel Galileo based traction frame for the myasthenia gravis and muscle electromyography sensor are characteristics in our system.

Keywords

electromyography; medical signal processing; patient rehabilitation; Bay Trail processor platform; Intel Galileo; Intel Senz3D camera; muscle electromyography sensor; myasthenia gravis; rehabilitation plan; rehabilitation training system; upper extremity motor deficit; Bluetooth; Cameras; Electromyography; Games; Muscles; Traction motors; Training; Muscle electromyography sensor; Play Therapy; Realsense; Rehabilitation; Traction Frame;

fLanguage

English

Publisher

ieee

Conference_Titel

Autonomous Decentralized Systems (ISADS), 2015 IEEE Twelfth International Symposium on

Conference_Location

Taichung

Print_ISBN

978-1-4799-8260-8

Type

conf

DOI

10.1109/ISADS.2015.56

Filename

7098253