Analysis on Advanced Controllers for Mean Arterial Pressure
Sowparnika G C
Sowparnika G C, Department of Bio-Medical Engineeirng, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India.
Manuscript received on April 20, 2020. | Revised Manuscript received on April 30, 2020. | Manuscript published on May 10, 2020. | PP: 371-374 | Volume-9 Issue-7, May 2020. | Retrieval Number: G5279059720/2020©BEIESP | DOI: 10.35940/ijitee.G5279.059720
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Control of hemodynamic variables such as Mean Arterial Pressure (MAP) has been approached using single drug Noradrenaline by various control algorithms and compared the results with patient model obtained using single drug Dopamine in the literature. This paper presents the design and implementation of the controllers such as Proportional Integral (PI), Proportional Integral Derivative (PID), Smith Predictive Controllers for the patient model which is developed by the readings obtained during Cardiovascular surgery. Implementation of these controllers is necessary to improve and automatically maintain the patient safety and minimum recurring time. The controlled Mean Arterial Pressure is compared, and time domain specifications are determined. Simulation results are obtained using MATLAB Software.
Keywords: Dopamine, MAP, Noradrenaline, PI, PID, Smith Predictor.
Scope of the Article: Logic, Functional programming and Microcontrollers for IoT