Abstract
Control of physiological states such as mean arterial pressure (MAP) has been successfully achieved using single drug by different control algorithms. Multi-drug delivery demonstrates a significantly challenging task as compared to control with a single-drug. Also the patient’s sensitivity to the drugs varies from patient to patient. Therefore, the implementation of adaptive controller is very essential to improve the patient care in order to reduce the workload of healthcare staff and costs. This paper presents the design and implementation of the model reference adaptive controller (MRAC) to regulate mean arterial pressure and cardiac output by administering vasoactive and inotropic drugs that are sodium nitroprusside (SNP) and dopamine (DPM) respectively. The proposed adaptive control model has been implemented, tested and verified to demonstrate its merits and capabilities as compared to the existing research work.
Original language | English |
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Title of host publication | Advances in intelligent and soft computing |
Editors | M.P. Rocha, J.M. Corchado, Fdez Riverola, A. Valencia |
Place of Publication | London |
Publisher | Springer |
Pages | 141-148 |
Volume | 93 |
ISBN (Print) | 978-3642199134 |
Publication status | Published - 2011 |
Event | Advances in intelligent and soft computing - Duration: 1 Jan 2011 → … |
Conference
Conference | Advances in intelligent and soft computing |
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Period | 1/01/11 → … |
Keywords
- bioinformatics
- computational biology
- computational intelligence