A New Evolutionary Algorithm-Based Home Monitoring Device for Parkinson's Dyskinesia
- Submitting institution
-
Heriot-Watt University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 15977003
- Type
- D - Journal article
- DOI
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10.1007/s10916-017-0811-7
- Title of journal
- Journal of Medical Systems
- Article number
- 176
- First page
- -
- Volume
- 41
- Issue
- 11
- ISSN
- 0148-5598
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2017
- 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
- No
- Number of additional authors
-
7
- Research group(s)
-
-
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper won the ACM-sponsored 2018 “Humies” Award for Human-Competitive Results and is the basis of a commercial product developed by ClearSky Medical Diagnostic Ltd. (contact Prof. Stephen Smith, stephen.smith@clearskymd.com) for remotely monitoring Parkinson’s disease patients and informing their medication regime. This is currently being trialled at two NHS hospitals in Yorkshire, and has been reported on by a number of newspapers, including the Daily Express (https://www.express.co.uk/life-style/health/901608/parkinsons-home-monitor-targeted-help-dyskinesia-dopamine-replacement-drugs).
Contribution: I was the lead author, and carried out the data processing and machine learning experiments described in the paper.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
