EPSRC Reference: |
GR/K08345/01 |
Title: |
HIERARCHICAL FUZZY-BASED SUPPORT SYSTEM FOR ANAESTHESIA MONITORING AND CONTROL |
Principal Investigator: |
Linkens, Professor DA |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Automatic Control and Systems Eng |
Organisation: |
University of Sheffield |
Scheme: |
Standard Research (Pre-FEC) |
Starts: |
23 March 1995 |
Ends: |
22 August 1998 |
Value (£): |
146,491
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EPSRC Research Topic Classifications: |
Intelligent & Expert Systems |
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EPSRC Industrial Sector Classifications: |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
The overall purpose of this project is to consolidate and extend research into a novel hierarchical architecture for fuzzy logic monitoring and control of intravenous anasthesia with the following main objectives:1. Integrate Audio Evoked Response (AER) into clinical rule-bases for monitoring anaesthetic depth.2. To investigate the feasibility of online patient characterisation during induction for adaptation of maintenance regulation.3. Provide balanced analgesic supplementation for 'optimal' patient profiling.4. On-line fuzzy predictions of recovery times and drive systems.5. Develop a fuzzy model-based anasthesia simulator for training via non-animal models.As well as providing a research thrust into clinical decision-making & engineering, the project will contain important scientific benefits arising from clinical data gathering relating to neuropharmacology & evoked potential brain functioning,
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
Description |
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Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.shef.ac.uk |