A Heterogeneous Sensing Suite for Multisymptom Quantification of Parkinson’s Disease
- Submitting institution
-
Imperial College of Science, Technology and Medicine
- Unit of assessment
- 12 - Engineering
- Output identifier
- 4855
- Type
- D - Journal article
- DOI
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10.1109/TNSRE.2020.2978197
- Title of journal
- IEEE Transactions on Neural Systems and Rehabilitation Engineering
- Article number
- -
- First page
- 1397
- Volume
- 28
- Issue
- 6
- ISSN
- 1534-4320
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2020
- 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
-
6
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The first automated system capable of tracking ALL major symptoms of Parkinson’s Disease (PD) is introduced. New sensors, electronics, and learning algorithms were packaged with medical veracity proven. The sensor system was patented (USA10,335,080 B2, EU pending). A new venture, Serg Technologies (http://sergtechnologies.com/) was founded to commercialise the system, which was trailed to support telemedicine during COVID (contact: FoEREF@ic.ac.uk). Findings formed the basis home monitoring research in the UK Dementia Research Institute Care Research and Technology Centre (DRI-CRT, £20m) and led to the NIHR Grant (‘A Wearable Tremor Suppression System’, 202133, £1m).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -