Rule-based algorithm for the classification of sitting postures in the sagittal plane from the Cardiff Body Match measurement system
- Submitting institution
-
University of South Wales / Prifysgol De Cymru
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1006642
- Type
- D - Journal article
- DOI
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10.3109/03091902.2013.844208
- Title of journal
- Journal of Medical Engineering and Technology
- Article number
- -
- First page
- 5
- Volume
- 38
- Issue
- 1
- ISSN
- 0309-1902
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
4
- Research group(s)
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E - Biomedical Computing
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Interdisciplinary research for the first time enabling the classification of sitting postures of individuals with severe musculoskeletal deformity using body shape measurements. The new approach uses mathematical analysis of the curvature of backrest profile to extract meaningful geometric parameters. It created an objective outcome measure to compare patient’s postures thus improving clinical decisions and the quality of care. The work was done in collaboration with CVUHB and led to several external grants from the NHS and EU totalling £70k. The output led to clinical trial (IRAS_ID 90356) and was publicised in July 2017 NHS Newsletter sent out to 14,000 employees.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -