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Output details

11 - Computer Science and Informatics

Staffordshire University

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Article title

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

Type

D - Journal article

DOI

Title of journal

International Journal of Research in IT Management and Engineering

Article number

Volume number

Issue number

First page of article

ISSN of journal

2249-1619

Year of publication

2011

URL

http://eprints.staffs.ac.uk/984/

Number of additional authors

Additional information

<28> Many surveys have reported that during their life time, a person will have at least two bad falls, possibly causing severe problems later 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’s 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 people, and this could have serious consequences in the near future.

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract