Designing an Interval Type-2 Fuzzy Logic System for Handling Uncertainty Effects in Brain–Computer Interface Classification of Motor Imagery Induced EEG Patterns
- Submitting institution
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Nottingham Trent University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 13 - 697366
- Type
- D - Journal article
- DOI
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10.1109/TFUZZ.2016.2637934
- Title of journal
- IEEE Transactions on Fuzzy Systems
- Article number
- -
- First page
- 29
- Volume
- 25
- Issue
- 1
- ISSN
- 1063-6706
- Open access status
- Compliant
- Month of publication
- February
- 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
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2
- Research group(s)
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A - Computing and Informatics Research Centre
- Citation count
- 18
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The nonstationary nature of brain signals such as the electroencephalogram (EEG) poses a severe problem for existing approaches to classification tasks in brain-computer interface systems, which this paper addresses.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
