Endogenous and Exogenous Regulation and Control of Physiological SystemsFrom a biomedical engineering perspective, this book takes an analytic, quantitative approach to describing the basic components of physiological regulators and control systems (PRCs). In Endogenous and Exogenous Regulation and Control of Physiological Systems, the author provides grounding in the classical methods of designing linear and nonlinear systems. He also offers state-of-the-art material on the potential of PRCs to treat immune system ailments, most notably AIDS and cancer. The book focuses on certain "wet" physiological regulators, such as those using endocrine hormones as parametric control substances. Endogenous and Exogenous Regulation and Control of Physiological Systems includes simulations that illustrate model validations and the putative control of cancer and HIV proliferation. It explores novel, untried immunotherapies on the cutting-edge of PRC treatment and explores the latest technologies. |
Contents
Introduction to Physiological Regulators and Control Systems | 1 |
Physical and Chemical Factors Governing the Behavior of Physiological Regulators and Control Systems | 31 |
Introduction to SISO Control Systems and Systems with Delays | 55 |
Introduction to Compartmental Modeling and Pharmacokinetic Systems | 127 |
Special Types of ClosedLoop Drug Input Controllers | 153 |
Hormonal Regulation of Sodium Potassium Calcium and Magnesium Ions | 217 |
Regulation of Blood Glucose | 247 |
Control of Mean Arterial Pressure by Sodium Nitroprusside Injection | 295 |
Control of Postoperative Pain by SelfAdministered Opioids | 325 |
The Human Immune System Seen from a Biomedical Engineering Viewpoint | 353 |
| 435 | |
Discussion of Simulation Languages for Physiological Pharmacokinetic and Chemical Kinetic Systems | 445 |
| 449 | |
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Common terms and phrases
A₁(s acids activated algorithm antibodies antigen antigen presentation apoptosis axis behavior binding biochemical Block diagram blood bolus C₁ Ca++ cancer CD4+ closed-loop system compartment compartmental complex control systems delay described diffusion drug dynamics effect enzymes example exogenous extracellular factor feedback fentanyl fluid frequency glucagon glucose glycogen hormone immune system immunocytokines increase insulin integrator ions IPFM controller K₁ kidneys limit cycle linear liver loop gain loss rate macrophages mast cells membrane mg/dl mg/min mmHg molecules NHGB NK cells noise nonlinear nonlinear systems normal Note opioid ordinary differential equations output pain parameters pathogen pharmacokinetic phase plane physiological systems PI controller plant plasma glucose plot poles pressure protein rate constants receptors regulator release response root locus s-plane secretion set point shown in Figure Simnon simulation T-cells trace transfer function tumor urine values virions x₁ zero