Automated Peripheral Neuropathy Assessment Using Optical Imaging and Foot Anthropometry
- Submitting institution
-
London South Bank University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 163026
- Type
- D - Journal article
- DOI
-
10.1109/TBME.2015.2407056
- Title of journal
- IEEE Transactions on Biomedical Engineering
- Article number
- -
- First page
- 1911
- Volume
- 62
- Issue
- 8
- ISSN
- 0018-9294
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- Year of publication
- 2015
- URL
-
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7047824
- 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
- No
- Number of additional authors
-
3
- Research group(s)
-
A - The BioEngineering Research Centre
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presented the first work to automatically identify plantar foot pressure points and potential ulcers on diabetic patients feet for sensory neuropathy detection via integrated optical image processing and mechanical pressure. The method provisioned the automated replication of the most trusted SWME (Semmes-Weinstein Monofilament Examination) method to test a patients foot for neuropathy and through image processing and foot measurements repeatedly selected the most suitable test points on the plantar surface that corresponded to those repeatedly chosen by a trained podiatrist. A PhD student graduated with a thesis based on the work.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -