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
| 1 | |
Chapter 2 | 31 |
Chapter 3 | 55 |
Chapter 4 | 127 |
Special Types of ClosedLoop Drug Input Controllers | 153 |
the Phase Plane | 184 |
Chapter 6 | 217 |
Chapter 7 | 245 |
Chapter 10 | 293 |
Chapter 8 | 295 |
Chapter 9 | 325 |
The Human Immune System Seen from a Biomedical Engineering | 353 |
| 435 | |
Discussion of Simulation Languages for Physiological | 445 |
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Common terms and phrases
A₁(s acids activated algorithm antibodies antigen antigen presentation apoptosis behavior binding biochemical Block diagram blood bolus bolus injection C₁ Ca++ CD4+ closed-loop system compartment complex control systems delay described detuning diffusion drug dynamics effect enzyme estimate example exogenous extracellular factor feedback fentanyl fluid frequency glucagon glucose glycogen hormone immune system immunocytokines increases infection infusion rate input insulin integrator ions IPFM controller K₁ kidneys leptin limit cycle linear liver loop gain loss rate macrophages MAP(t MAP/SNP membrane mmHg molecules NHGB NK cells noise nonlinear nonlinear systems normal Note opioid ordinary differential equations output pain pathogen pharmacokinetic phase plane PI controller plasma glucose plot poles Posm pressure protein rate constants receptors regulator release response root locus s-plane secretion set point shown in Figure Simnon simulation SNP infusion T-cells trace transfer function urine values x₁ zero