Title :
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
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;
Conference_Titel :
Autonomous Decentralized Systems (ISADS), 2015 IEEE Twelfth International Symposium on
Conference_Location :
Taichung
Print_ISBN :
978-1-4799-8260-8
DOI :
10.1109/ISADS.2015.56
