DocumentCode :
141775
Title :
Research on Identification Modeling for Rehabilitation Training Control System for Stroke Patients´ Lower Limbs Based on Support Vector Machine
Author :
Liye Ren ; Lifeng Ren ; Yajuan Song ; Ping Feng
Author_Institution :
Dept. of Electron. Inf. Eng., Changchun Univ., Changchun, China
fYear :
2014
fDate :
24-27 Aug. 2014
Firstpage :
516
Lastpage :
519
Abstract :
System identification modeling is an essential precondition and foundation for the analysis, design and intelligent control of control system. Theory and method of identification modeling for rehabilitation training system for stroke patients´ lower limbs based on support vector regression are mainly researched in this paper. In addition, simulated test is carried out to verify such method, based on which it can be said that such method is superior to other conventional methods in the aspect of accuracy and relevance.
Keywords :
medical control systems; patient rehabilitation; regression analysis; support vector machines; rehabilitation training control system; stroke patient lower limbs; support vector machine; support vector regression; system identification modeling; Control systems; Educational institutions; Electrodes; Kernel; Mathematical model; Support vector machines; Training; Algorithm; Support Vector Machine; System Identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Dependable, Autonomic and Secure Computing (DASC), 2014 IEEE 12th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4799-5078-2
Type :
conf
DOI :
10.1109/DASC.2014.99
Filename :
6945744
Link To Document :
بازگشت