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Knowledge based system framework of SOM and CBR techniques using motion capture technology in elderly falling risk for physiotherapist assessment and support

Rueangsirarak, Worasak and ATKINS, Anthony and SHARP, Bernadette and Chakpitak, Nopasit and Meksamoot, Komsak and Pothongsunun, Prapas (2011) Knowledge based system framework of SOM and CBR techniques using motion capture technology in elderly falling risk for physiotherapist assessment and support. International Journal of Research in IT Management and Engineering, 1 (4). pp. 1-20. ISSN 2249-1619

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Abstract or description

Nobody can avoid becoming old and all of us will be faced with accidents and illnesses during our life time. Many surveys have reported that during everyone’s life time; a person will have at least two bad falls possibly causing severe problems later on in life with 72.4% affecting the Musculo Skeletal System and 90% of these relate to three issues: gait, balance and mobility. Consequently, physiotherapists will be needed to diagnose elderly patients as currently 11% of Thailand population is aged over 59 years and the percentage will increase to 22% by 2045. Unfortunately, the number of medical experts is not sufficient for the increasing numbers of elderly population and this could have serious consequences in the near future.

Item Type: Article
Subjects: G400 Computer Science
Faculty: Faculty of Computing, Engineering and Sciences > Computing
Related URLs:
Depositing User: Bernadette SHARP
Date Deposited: 02 May 2013 11:35
Last Modified: 23 Oct 2013 10:53
URI: http://eprints.staffs.ac.uk/id/eprint/984

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