This book emphasizes on a Field Programmable Gate Array (FPGA) Implementation of Fuzzy PD and PID Controller for biomedical application. A novel approach aims to identify and design a simple robust Fuzzy (PD and PID) Controller system with minimum number of fuzzy rules to deliver insulin from pumps as a single injection process for the diabetic patients. This controller is an automatic feedback control system in which the patient's blood glucose level is monitored from non-invasive Photo plethysmogram of a pulse oximeter (Photoglucometer) and insulin is infused with the change in the glucose level of the diabetic patient. This work was carried out in three phases like phase -I VLSI Design and simulation of Fuzzy PD controller were performed and analyzed. From the VLSI Simulation results FPGA Model was synthesized in the phase-II. During phase -III performance of the fuzzy PD Controller was evaluated. VLSI fuzzy system was simulated and analyzed then FPGA module was synthesized and implemented using VHDL.A part of this work was sponsored by IEEE Inc., (U.S.A) under scheme IEEE Student Enterprise Award 2007-2008 title FPGA Model of Fuzzy PD Controller for Insulin Pumps In Diabetes.

th On behalf of the organizing committee of the 13 International Conference on Biomedical Engineering, I extend our w- mest welcome to you. This series of conference began in 1983 and is jointly organized by the YLL School of Medicine and Faculty of Engineering of the National University of Singapore and the Biomedical Engineering Society (Singapore). First of all, I want to thank Mr Lim Chuan Poh, Chairman A*STAR who kindly agreed to be our Guest of Honour to give th the Opening Address amidst his busy schedule. I am delighted to report that the 13 ICBME has more than 600 participants from 40 countries. We have received very high quality papers and inevitably we had to turndown some papers. We have invited very prominent speakers and each one is an authority in their field of expertise. I am grateful to each one of them for setting aside their valuable time to participate in this conference. For the first time, the Biomedical Engineering Society (USA) will be sponsoring two symposia, ie “Drug Delivery S- tems” and “Systems Biology and Computational Bioengineering”. I am thankful to Prof Tom Skalak for his leadership in this initiative. I would also like to acknowledge the contribution of Prof Takami Yamaguchi for organizing the NUS-Tohoku’s Global COE workshop within this conference. Thanks also to Prof Fritz Bodem for organizing the symposium, “Space Flight Bioengineering”. This year’s conference proceedings will be published by Springer as an IFMBE Proceedings Series.

Biomedical Instrumentation is an exciting field to discover and explore. Diabetes mellitus is one of the critical research areas which has been addressed for decades. The development of the constant glucose measuring devices and insulin pumps give an expectation for better well-being. The pancreas in the body plays a dynamic part in regulating the glucose level in blood. The function of the pancreas to produce insulin enzymes. The deficiency of the pancreas causes to rise in blood glucose level. Many research scientists are working on diagnosing and treating this diabetes mellitus disease. The mathematical model adopted in this work represents the dynamics of glucose and insulin. The name of model is extended Bergman Minimal Model. With this model, a closed loop feedback control system of blood glucose-insulin is developed to normalize the glucose level in blood. The developed system is implemented and analyzed with a software tool called MATLAB. The PID control and Fuzzy control methods are designed for exogenous insulin infusion pumps. These control methods are applied to the developed system to maintain the blood glucose level in desired range. Simulations shows that both designed control methods can keep the blood glucose level in desired range. However, the PID control method able to achieve the setpoint while the fuzzy control is never able to reach the setpoint value. With the PID control method, the output is oscillatory in nature to give blood glucose value before coming to the setpoint value. The fuzzy controller gives small overshoot in output but within the normal range.

Medical acronyms and abbreviations offer convenience, but those countless shortcuts can often be confusing. Now a part of the popular Dorland’s suite of products, this reference features thousands of terms from across various medical specialties. Its alphabetical arrangement makes for quick reference, and expanded coverage of symbols ensures they are easier to find. Effective communication plays an important role in all medical settings, so turn to this trusted volume for nearly any medical abbreviation you might encounter. Symbols section makes it easier to locate unusual or seldom-used symbols. Convenient alphabetical format allows you to find the entry you need more intuitively. More than 90,000 entries and definitions. Many new and updated entries including terminology in expanding specialties, such as Nursing; Physical, Occupational, and Speech Therapies; Transcription and Coding; Computer and Technical Fields. New section on abbreviations to avoid, including Joint Commission abbreviations that are not to be used. Incorporates updates suggested by the Institute for Safe Medication Practices (ISMP).

The early 21st century has seen a renewed interest in research in the widely-adopted proportional-integral-differential (PID) form of control. PID Control in the Third Millennium provides an overview of the advances made as a result. Featuring: new approaches for controller tuning; control structures and configurations for more efficient control; practical issues in PID implementation; and non-standard approaches to PID including fractional-order, event-based, nonlinear, data-driven and predictive control; the nearly twenty chapters provide a state-of-the-art resumé of PID controller theory, design and realization. Each chapter has specialist authorship and ideas clearly characterized from both academic and industrial viewpoints. PID Control in the Third Millennium is of interest to academics requiring a reference for the current state of PID-related research and a stimulus for further inquiry. Industrial practitioners and manufacturers of control systems with application problems relating to PID will find this to be a practical source of appropriate and advanced solutions.

This book discusses new cognitive informatics tools, algorithms and methods that mimic the mechanisms of the human brain which lead to an impending revolution in understating a large amount of data generated by various smart applications. The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2020), organized by SCAD College of Engineering and Technology, Tirunelveli, India, during 8–9 July 2020. The book includes novel work in data intelligence domain which combines with the increasing efforts of artificial intelligence, machine learning, deep learning and cognitive science to study and develop a deeper understanding of the information processing systems.

This book discusses novel intelligent-system algorithms and methods in cybernetics, presenting new approaches in the field of cybernetics and automation control theory. It constitutes the proceedings of the Cybernetics and Automation Control Theory Methods in Intelligent Algorithms Section of the 8th Computer Science On-line Conference 2019 (CSOC 2019), held on-line in April 2019.