Decoding Imagined 3D Hand Movement Trajectories From EEG: Evidence to Support the Use of Mu, Beta, and Low Gamma Oscillations
- Submitting institution
-
University of Ulster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 76630089
- Type
- D - Journal article
- DOI
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10.3389/fnins.2018.00130
- Title of journal
- Frontiers in Neuroscience
- Article number
- 130
- First page
- 1
- Volume
- 12
- Issue
- -
- ISSN
- 1662-4548
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2018
- 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
-
3
- Research group(s)
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A - Intelligent Systems Research Centre
- Citation count
- 28
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- <20>The research involved collaboration with Sosnik (Holon Institute, Israel) and assisted Korik in securing a post-doctoral-research-associate position at Ulster (2018-present). Following paper publication Coyle received a keynote speaker invitation for 8th Graz BCI Conference 2019, linked to the Institute of Neural Engineering TU Graz, a leading lab in EEG-based movement decoding. The signal analytics is in software released by NeuroCONCISE Ltd (verification CEO/coauthor, damien.coyle@neuroconcise.co.uk). This research supported successful funding bids for Ulster’s Spatial Computing and Neurotechnology Innovation Hub (SCANi-hub) (£360K), the EPSRC-funded Northern Ireland High Performance Computing Facility (EP/T022175/1, ~£2.1m, www.ni-hpc.ac.uk) and Coyle’s UKRI Turing AI Fellowship (EP/V025724/1, ~£2.2m)) 2021-2025.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
