DocumentCode :
620125
Title :
Model of rehabilitation training program for stroke by fuzzy reasoning
Author :
Jianhui Wang ; Wen Ji ; Xiaoke Fang ; Shusheng Gu ; Jilin Chen
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear :
2013
fDate :
25-27 May 2013
Firstpage :
2470
Lastpage :
2474
Abstract :
At present, using the rehabilitant robot can achieve the stroke rehabilitation training for patients, which is high intensity, targeted and repetitive rehabilitation training. It needs sound rehabilitation training program to guide the training. Due to different patients have different condition, and the same patient´s condition changes as time change, however, there are some uncertainties of patients in the process of drawing up a rehabilitation training program, At the same time, the process of drawing up the program needs long time, and requires lots of manpower and material resources. In view of these issues, the model of rehabilitation training program for stroke was proposed, combing with the fuzzy reasoning (FR). Experimental results show that the model can make a rehabilitation training program and improve rehabilitation efficiency effectively.
Keywords :
control engineering computing; fuzzy reasoning; fuzzy set theory; medical disorders; medical robotics; patient rehabilitation; fuzzy reasoning; patient condition; patients; rehabilitant robot; rehabilitation efficiency; sound rehabilitation training program; stroke rehabilitation training; Diseases; Firing; Fuzzy reasoning; Robots; Training; Uncertainty; Fuzzy Reasoning (FR); Rehabilitation Training; Rehabilitation Training Program; Stroke;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
Type :
conf
DOI :
10.1109/CCDC.2013.6561354
Filename :
6561354
Link To Document :
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