• 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