Physiological system modelling and clinical simulation for diagnosis

Chapter 0 Contains the thesis introduction thesis and concepts of NDIs, derivations and applications. It also summarizes the PNDIs that are derived in the subsequent chapters. Chapter 1 Introduces the concept of using Physiological Non-Dimensional Indexes (PNDI) for distinguishing or classifying patients who were diabetic from non-diabetic and those who are the risk of becoming diabetic. In the authors work, he has also demonstrated that those who were diabetic were actually at-risk and those who were normal were in fact at the rim of becoming diabetic. All the works were verified against with clinical data by parametric identification techniques. Chapter 2 Using the findings of the above chapter, the author conceptualized, and design and simulated a dynamic activity-based insulin infusion system. He has used the clinical data of diabetic patients in the above chapter for demonstrating the operations of the system. He has even demonstrated the stability of the system by having continual simulations till 4-hour. Chapter 3 In this chapter, the author has derived a series of system equations for identification of pulmonary diseases based in the inhale and exhale gas mixtures concentrations and volume space. Chapter 4 In this chapter, the author has derived a series of system equations for identification of diseased lungs based of the lungs’ pressurevolume graphs. He has even demonstrated the techniques of obtaining the Cardiac Output (CO) non-invasively. Chapter 5 The author has demonstrated how to obtain the relative urine outflow non-invasively for normal kidneys. Chapter 6 The author has described the significance and derivation background of PNDI.