DocumentCode :
256422
Title :
ICF based automation system for spinal cord injuries rehabilitation
Author :
Mahmoud, R. ; El-Bendary, N. ; Mokhtar, H.M.O. ; Hassanien, A.E.
Author_Institution :
Fac. of Comput. & Inf., Cairo Univ., Cairo, Egypt
fYear :
2014
fDate :
22-23 Dec. 2014
Firstpage :
192
Lastpage :
197
Abstract :
Disabilities, specially the ones caused by injuries of spinal cord, affect both people´s behavior and participation in daily activities. Therefore, developing automated systems that monitor and assess the progress of Spinal Cord Injury (SCI) patients represents an accelerated need. In this paper we utilize the framework of the International Classification for Functioning, disability and health (ICF) in order to propose an automatic system for SCI patients progress monitoring and rehabilitation. The ICF is a reference classification system that aims at improving integration of health information and ensuring the collection of accurate health data. The proposed system is divided into three phases; namely (1) ICF code construction, (2) progress monitoring, and (3) progress assessment phases. Comparing the manual expert-based progress assessment to experimental results obtained by the proposed system in this article, an efficiency of 100% has been achieved by the three previously stated phases of the proposed system.
Keywords :
behavioural sciences computing; bone; patient monitoring; patient rehabilitation; ICF based automation system; SCI patients; disabilities; international classification; people behavior; progress assessment phase; progress monitoring; spinal cord injuries rehabilitation; Injuries; Monitoring; International Classification for Functioning; Rehabilitation; Spinal Cord Injury (SCI); World Health Organization (WHO); disability and health (ICF);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Engineering & Systems (ICCES), 2014 9th International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4799-6593-9
Type :
conf
DOI :
10.1109/ICCES.2014.7030955
Filename :
7030955
Link To Document :
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