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Annotation Computing in Cardiology (formerly Computers in Cardiology) is an international scientific conference that has been held annually since 1974 CinC provides a forum for scientists and professionals from the fields of medicine, physics, engineering and computer science to discuss their current research in topics pertaining to computing in clinical cardiology and cardiovascular physiology.

Cardiology --- Patient monitoring

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Drug monitoring --- Drugs --- Monitoring, Drug --- Therapeutic drug monitoring --- Patient monitoring --- Monitoring --- Analysis --- Testing

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This book describes the pathophysiological significance of the hemodynamic monitoring parameters available to the clinician and their role in providing reliable and reproducible information on the cardiocirculatory status of a patient in shock. It is explained how measurements of these parameters enable the intensivist to understand the patient’s condition and to make more informed treatment decisions in order to optimize the hemodynamic status and improve the prognosis. Full guidance is provided on measurement of intravascular blood pressures, cardiac output, and derived variables. Methods of cardiac output determination based on the classical pulmonary thermodilution, transpulmonary thermodilution, echocardiography, and Doppler techniques are reviewed. Techniques based on calibrated and non-calibrated pulse contour analysis are discussed, with attention to their limitations. Furthermore, the dynamic indices of fluid responsiveness, their clinical applications, and issues related to their use are addressed. Care is also taken to explain the physiological concepts underlying various devices used by anesthesiologists and intensivists.

Medicine. --- Human physiology. --- Anesthesiology. --- Emergency medicine. --- Critical care medicine. --- Medicine & Public Health. --- Intensive / Critical Care Medicine. --- Human Physiology. --- Emergency Medicine. --- Hemodynamic monitoring. --- Intensive care --- Intensive medicine --- Monitoring, Hemodynamic --- Medicine --- Emergency medicine --- Intensive care units --- Patient monitoring --- Medicine, Emergency --- Critical care medicine --- Disaster medicine --- Medical emergencies --- Human biology --- Medical sciences --- Physiology --- Human body --- Anaesthesiology --- Surgery

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This book tackles the problem of overshoot and undershoot in blood glucose levels caused by delay in the effects of carbohydrate consumption and insulin administration. The ideas presented here will be very important in maintaining the welfare of insulin-dependent diabetics and avoiding the damaging effects of unpredicted swings in blood glucose – accurate prediction enables the implementation of counter-measures. The glucose prediction algorithms described are also a key and critical ingredient of automated insulin delivery systems, the so-called “artificial pancreas”. The authors address the topic of blood-glucose prediction from medical, scientific and technological points of view. Simulation studies are utilized for complementary analysis but the primary focus of this book is on real applications, using clinical data from diabetic subjects. The text details the current state of the art by surveying prediction algorithms, and then moves beyond it with the most recent advances in data-based modeling of glucose metabolism. The topic of performance evaluation is discussed and the relationship of clinical and technological needs and goals examined with regard to their implications for medical devices employing prediction algorithms. Practical and theoretical questions associated with such devices and their solutions are highlighted. This book shows researchers interested in biomedical device technology and control researchers working with predictive algorithms how incorporation of predictive algorithms into the next generation of portable glucose measurement can make treatment of diabetes safer and more efficient.

Biomedical Engineering --- Health & Biological Sciences --- Blood sugar --- Blood sugar monitoring --- Analysis. --- Equipment and supplies. --- Blood glucose self-monitoring --- Patient monitoring --- Analysis --- Biomedical engineering. --- Diabetes. --- Biomedical Engineering and Bioengineering. --- Control and Systems Theory. --- Biological and Medical Physics, Biophysics. --- Brittle diabetes --- Diabetes mellitus --- IDDM (Disease) --- Insulin-dependent diabetes --- Ketosis prone diabetes --- Type 1 diabetes --- Carbohydrate intolerance --- Endocrine glands --- Diabetic acidosis --- Glycosylated hemoglobin --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Medicine --- Diseases --- Control engineering. --- Biophysics. --- Biological physics. --- Biological physics --- Biology --- Medical sciences --- Physics --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers

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People keep track. In the eighteenth century, Benjamin Franklin kept charts of time spent and virtues lived up to. Today, people use technology to self-track: hours slept, steps taken, calories consumed, medications administered. Ninety million wearable sensors were shipped in 2014 to help us gather data about our lives. This book examines how people record, analyze, and reflect on this data, looking at the tools they use and the communities they become part of. Gina Neff and Dawn Nafus describe what happens when people turn their everyday experience -- in particular, health and wellness-related experience -- into data, and offer an introduction to the essential ideas and key challenges of using these technologies. They consider self-tracking as a social and cultural phenomenon, describing not only the use of data as a kind of mirror of the self but also how this enables people to connect to, and learn from, others. Neff and Nafus consider what's at stake: who wants our data and why; the practices of serious self-tracking enthusiasts; the design of commercial self-tracking technology; and how self-tracking can fill gaps in the healthcare system. Today, no one can lead an entirely untracked life. Neff and Nafus show us how to use data in a way that empowers and educates.

Patient self-monitoring. --- Self-monitoring. --- Self-care, Health --- Medical telematics. --- Medical innovations --- Information technology --- Society and medical innovations --- Clinical telematics --- Health telematics --- Telehealth --- Medical informatics --- Telecommunication in medicine --- Telematics --- Health care, Self --- Health self-care --- Medical self-care --- Self-care, Medical --- Self health care --- Self-help, Health --- Care of the sick --- Health --- Health behavior --- Holistic medicine --- Medical care --- Medicine, Popular --- Monitoring, Self --- Self-management (Psychology) --- Medical self-monitoring --- Medical self-testing --- Patient self-testing --- Self-monitoring, Patient --- Self-testing, Patient --- Patient monitoring --- Technological innovations. --- Social aspects. --- INFORMATION SCIENCE/General --- SCIENCE, TECHNOLOGY & SOCIETY/General --- COMPUTER SCIENCE/Human Computer Interaction --- Patient self-monitoring --- Self-monitoring --- Medical telematics --- Telecommunication --- Self Care --- Health Behavior --- Telecommunications --- Data Collection --- Medical History Taking --- Empirical Research --- Data Collection Methods --- Dual Data Collection --- Collection Method, Data --- Collection Methods, Data --- Collection, Data --- Collection, Dual Data --- Data Collection Method --- Method, Data Collection --- Methods, Data Collection --- Teleconference --- Telegraphy --- Teleconferences --- Telegraphies --- Healthy Lifestyle --- Health Promotion --- Life Style --- Health-Related Behavior --- Behavior, Health --- Behavior, Health-Related --- Behaviors, Health --- Behaviors, Health-Related --- Health Behaviors --- Health Related Behavior --- Health-Related Behaviors --- Self-Care --- Care, Self --- Communication --- Information theory --- Telecommuting --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Diseases --- Habit --- Health attitudes --- Human behavior --- Medicine and psychology --- Health habits --- Technological innovations --- Social aspects --- Causes and theories of causation