Control Applications for Biomedical Engineering Systems

著者名：Taher Azar, Ahmad (EDT)

Academic Press（2020/01/22発売）

• 言語：ENG
• ISBN：9780128174616
• eISBN：9780128174623

Description

Control Applications for Biomedical Engineering Systems presents different control engineering and modeling applications in the biomedical field. It is intended for senior undergraduate or graduate students in both control engineering and biomedical engineering programs. For control engineering students, it presents the application of various techniques already learned in theoretical lectures in the biomedical arena. For biomedical engineering students, it presents solutions to various problems in the field using methods commonly used by control engineers.- Points out theoretical and practical issues to biomedical control systems- Brings together solutions developed under different settings with specific attention to the validation of these tools in biomedical settings using real-life datasets and experiments- Presents significant case studies on devices and applications

Table of Contents

1. Neuro-fuzzy inverse optimal control incorporating a multistep predictor as applied to T1DM patients2. Blood glucose regulation in patients with type 1 diabetes by means of output-feedback sliding mode control3. Impulsive MPC schemes for biomedical processes: Application to type 1 diabetes4. Robust control applications in biomedical engineering: Control of depth of hypnosis5. Robust control strategy for HBV treatment: Considering parametric and nonparametric uncertainties6. A closed loop robust control system for electrosurgical generators7. Application of a T-S unknown input observer for studying sitting control for people living with spinal cord injury8. Epidemic modeling and control of HIV/AIDS dynamics in populations under external interactions: A worldwide challenge9. Reinforcement learning-based control of drug dosing with applications to anesthesia and cancer therapy10. Control strategies in general anesthesia administration11. Computational modeling of the control mechanisms involved in the respiratory system12. Intelligent decision support for lung ventilation13. Customized modeling and optimal control of superovulation stage in in vitro fertilization (IVF) treatment14. Models based on cellular automata for the analysis of biomedical systems