This book grew out of the IEEE-EMBS Summer Schools on Biomedical Signal Processing, which have been held annually since 2002 to provide the participants state-of-the-art knowledge on emerging areas in biomedical engineering. Prominent experts in the areas of biomedical signal processing, biomedical data treatment, medicine, signal processing, system biology, and applied physiology introduce novel techniques and algorithms as well as their clinical or physiological applications. The book provides an overview of a compelling group of advanced biomedical signal processing techniques, such as multisource and multiscale integration of information for physiology and clinical decision; the impact of advanced methods of signal processing in cardiology and neurology; the integration of signal processing methods with a modelling approach; complexity measurement from biomedical signals; higher order analysis in biomedical signals; advanced methods of signal and data processing in genomics and proteomics; and classification and parameter enhancement.

Science and engineering disciplines are provoking fundamental and applied discoveries in numerous applications, such as to deeply understand brain functions, precisely diagnose diseases, and to then properly address these. The later advances call upon biomedical integrated circuits and systems (BioCAS) to provide needed research tools. In fact, with the increase of the personalized healthcare market and BioCAS featuring wearability, implantability and intelligence, it has become significantly more important to address these emerging trends. These circuits and systems deal with various signals and images such as electrophysiological, electrochemical, optical, and magnetic, which require various front-end circuits to acquire signals and usually cancel out the noise. With the booming artificial intelligence methods, these biosignals became mandatory for the monitoring, detection, diagnosis and even prediction of diseases for example.This monograph focusses on the current research activities and emerging trends that relate to the above-mentioned functionalities, and it should be of interest to students, researchers and engineers active in the fields related to Circuits and Systems for Biomedical Engineering.Section I is a summary of the main BioCAS research interests, and in Section II various biosignal acquisition circuits techniques are discussed. In Section III the authors cover circuits for biosignal processing, with emphasis on the newly emerging artificial intelligence. Sections IV and V contain a review of wireless power harvesting and communication circuits. Sections VI and VII represent circuits that help miniaturizing biomedical imaging systems, and other systems intended for the detection of chemical and molecular assays. Section VIII describes one of the main neural prostheses intended to address vision disorders, whilst the last section reviews electrode-tissue interfaces that essentially bridge the circuits and systems with the human body.

This book includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Computer Science, Informatics, and Systems Sciences, and Engineering. It includes selected papers form the conference proceedings of the Ninth International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE 2013). Coverage includes topics in: Industrial Electronics, Technology & Automation, Telecommunications and Networking, Systems, Computing Sciences and Software Engineering, Engineering Education, Instructional Technology, Assessment, and E-learning. • Provides the latest in a series of books growing out of the International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering; • Includes chapters in the most advanced areas of Computing, Informatics, Systems Sciences, and Engineering; • Accessible to a wide range of readership, including professors, researchers, practitioners and students.

Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis. It develops computational models, methods and tools for biomedical engineering related to computer-aided diagnostics (CAD), computer-aided surgery (CAS), computational anatomy and bioinformatics. Large volumes of complex data are often a key feature of biomedical and engineering problems and computational intelligence helps to address such problems. Practical and validated solutions to hard biomedical and engineering problems can be developed by the applications of neural networks, support vector machines, reservoir computing, evolutionary optimization, biosignal processing, pattern recognition methods and other techniques to address complex problems of the real world.

This book gathers 30 papers presented at the 21st PCBBE, which was hosted by the University of Zielona Góra, Poland, and offered a valuable forum for exchanging ideas and presenting the latest developments in all areas of biomedical engineering. Biocybernetics and biomedical engineering are currently considered one of the most promising ways to improve health care and, consequently, the quality of life. Innovative technical solutions can better meet physicians' needs and stimulate the development of medical diagnostics and therapy. We are currently witnessing a profound change in the role of medicine, which is becoming ubiquitous in everyday life thanks to technological advances. Further, the development of civilization manifests itself in efforts to unlock the secrets of the human body, and to mimic biological systems in engineering. The biannual Polish Conference on Biocybernetics and Biomedical Engineering (PCBBE) has been held for nearly four decades and has attracted scientists and professionals in the fields of engineering, medicine, physics, and computer science. Gathering the outcomes of this conference, the book introduces the reader to recent developments and achievements in biocybernetics and biomedical engineering.

​Concepts and Trends in Healthcare Information Systems covers the latest research topics in the field from leading researchers and practitioners. This book offers theory-driven research that explores the role of Information Systems in the delivery of healthcare in its diverse organizational and regulatory settings. In addition to the embedded role of Information Technology (IT) in clinical and diagnostics equipment, Information Systems are uniquely positioned to capture, store, process, and communicate timely information to decision makers for better coordination of healthcare at both the individual and population levels. For example, data mining and decision support capabilities can identify potential adverse events for an individual patient while also contributing to the population’s health by providing insights into the causes of disease complications. Information systems have great potential to reduce healthcare costs and improve outcomes. The healthcare delivery systems share similar characteristics with most service and productive organizations, but also exhibit specific characteristics, which are related to the complexity and diversity of healthcare production, including the dissimilar ways healthcare professionals discharge their clinical tasks. New requirements and technological advances occurring in healthcare, information systems, and information technology have influenced the evolving role of healthcare information systems and related technology, and this book will help bring the field up to date.

The book will help assist a reader in the development of techniques for analysis of biomedical signals and computer aided diagnoses with a pedagogical examination of basic and advanced topics accompanied by over 350 figures and illustrations. Wide range of filtering techniques presented to address various applications 800 mathematical expressions and equations Practical questions, problems and laboratory exercises Includes fractals and chaos theory with biomedical applications