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Output details

11 - Computer Science and Informatics

Staffordshire University

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Output 18 of 30 in the submission

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