Feasibility of using combined EMG and kinematic signals for prosthesis control: A simulation study using a virtual reality environment
- Submitting institution
-
University of Keele
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 350
- Type
- D - Journal article
- DOI
-
10.1016/j.jelekin.2015.06.010
- Title of journal
- Journal of Electromyography and Kinesiology
- Article number
- -
- First page
- 21
- Volume
- 29
- Issue
- -
- ISSN
- 1050-6411
- Open access status
- Out of scope for open access requirements
- Month of publication
- July
- Year of publication
- 2015
- URL
-
https://www.sciencedirect.com/science/article/pii/S1050641115001467
- 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
-
3
- Research group(s)
-
-
- Citation count
- 30
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- One of many collaborations in which UoA11 staff provide the compuataional expertise for Chadwick's team -- formerly Keele Institute for Science and Technology in Medicine, now Aberdeen University, (most recently, https://doi.org/ggsh2x), the novel approach used here has been cited repeatedly as an influential early attempt in the use of nerve signals, and is the computational approach still used in EMG analysis by coauthors (e.g. https://doi.org/ffms). The research was funded via Keele's MRC Centenary Award and led to additional funding from EPSRC (EP/M025977/1).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -