An Optimized Type-2 Self-Organizing Fuzzy Logic Controller Applied in Anesthesia for Propofol Dosing to Regulate BIS
- Submitting institution
-
The University of Essex
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1411
- Type
- D - Journal article
- DOI
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10.1109/tfuzz.2020.2969384
- Title of journal
- IEEE Transactions on Fuzzy Systems
- Article number
- -
- First page
- 1062
- Volume
- 28
- Issue
- 6
- ISSN
- 1063-6706
- Open access status
- Compliant
- Month of publication
- January
- 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
- Yes
- Number of additional authors
-
4
- Research group(s)
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A - Artificial Intelligence (AI)
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The timely adaptation of anaesthetic dosing for different surgical and patient specific conditions is an important challenge in designing effective automatic drug delivery control systems. Using clinical data from the National Taiwan University Hospital (NTUH), this research developed the novel combination of global and local optimisation techniques for flexibility tuning control parameters of a self-organising fuzzy logic system to handle varied patient characteristics during surgical scenarios. The system could eventually operate intelligent Target Controlled Infusion (TCI) pumps for drug delivery. The research supports ongoing international collaboration with NTUH to develop next generation biomedical automation in surgical monitoring and intervention.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -