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