دورية أكاديمية
Model predictive control optimisation using the metaheuristic optimisation for blood pressure control.
| العنوان: | Model predictive control optimisation using the metaheuristic optimisation for blood pressure control. |
|---|---|
| المؤلفون: | Ahmadpour MR; Faculty of Electrical, Biomedical and Mechatronics Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran., Ghadiri H; Faculty of Electrical, Biomedical and Mechatronics Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran., Hajian SR; Faculty of Electrical, Biomedical and Mechatronics Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran. |
| المصدر: | IET systems biology [IET Syst Biol] 2021 Apr; Vol. 15 (2), pp. 41-52. Date of Electronic Publication: 2021 Feb 14. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Wiley Country of Publication: England NLM ID: 101301198 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1751-8857 (Electronic) Linking ISSN: 17518849 NLM ISO Abbreviation: IET Syst Biol Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: 2021- : [Oxford] : Wiley Original Publication: Stevenage : Institution of Engineering and Technology |
| مواضيع طبية MeSH: | Models, Theoretical*, Blood Pressure ; Computer Simulation ; Cross-Sectional Studies ; Humans |
| مستخلص: | Given the importance of high blood pressure, it is important to control and maintain a constant blood pressure level in the normal state. The main aim of this article is to design a model predictive controller with a genetic algorithm (GA) for the regulation of arterial blood pressure. The present study is an applied cross-sectional study. In order to do this research, studies related to designing mathematical models for blood pressure regulation and mechanical models for heart muscle and pressure sensors are investigated. Then, a model predictive controller with GA is designed for blood pressure control. All control and design operations are performed in the MATLAB software. According to the viscoelasticity of blood, transducer, and injection set, we can assume the mechanical model as Mass, Spring, and Damper. Initially, the patient's blood pressure is lower than normal, and after controlling, the patient's blood pressure returned to normal. By using a GA-based model predictive control (MPC), mathematical validation, and mechanical model, the patient's blood pressure can be adjusted and maintained. The simulation result shows that the GA-based MPC offers acceptable response and speed of operation and the proposed controller can achieve good tracking and disturbance rejection. (© 2021 The Authors. IET Systems Biology published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.) |
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| تواريخ الأحداث: | Date Created: 20210215 Date Completed: 20211210 Latest Revision: 20220218 |
| رمز التحديث: | 20221213 |
| مُعرف محوري في PubMed: | PMC8675817 |
| DOI: | 10.1049/syb2.12012 |
| PMID: | 33586313 |
| قاعدة البيانات: | MEDLINE |
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