| EPSRC Reference: |
GR/S94636/01 |
| Title: |
Development of an Adaptive Fuzzy Advisory System for Drug Delivery to Patients Undergoing Cardio-ByPass Surgery |
| Principal Investigator: |
Mahfouf, Professor M |
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| Department: |
Automatic Control and Systems Eng |
| Organisation: |
University of Sheffield |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
10 January 2005 |
Ends: |
09 July 2008 |
Value (£): |
174,429
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| EPSRC Research Topic Classifications: |
| Control Engineering |
Intelligent Measurement Sys. |
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Summary on Grant Application Form |
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Patients undergoing coronary bypass grafting are treated with 'cardio-pulmonary bypass' during the operation. Whilst anaesthetised, the heart is stopped with a special salt solution, and the work of the lungs and heart are performed by a machine. Once the solution is rinsed away the heart starts to beat again, pumping blood round the body. The majority of patients' hearts require extra drugs to be given into the bloodstream via a vein to help the recovering heart beat sufficiently strongly. This is also needed if the heart is known to work poorly from the post-operative investigations. Cardiac surgeons and anaesthetists are 'experts' in selecting the types of drugs and adequate doses, however, under and over dosage are frequent occurrences and the project aims to provide a computer-based advisor to assist the experts during two stages: during surgical operations and post-operatively. To facilitate this, hybrid models relating to cardiovascular functions, such as Heart Rate (HR), Cardiac Index (CI), and Pulmonary Artery Diastolic Pressure (PADP) will be elicited and subsequently embedded into a smart intelligent adaptive decision-support system for clinicians. The two important aspects of the project relate to the use of 'grey box' modelling approaches and self-adaptive control architectures for decision support. Once the models have been obtained for various patient conditions, optimal therapeutic advice on drug type and dose can be determined using the concept of smart adaptive intelligent based control. This will then form the basis for a computer-based system which will be validated in operating theatre and CICU.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.shef.ac.uk |