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This edited book covers big data analysis methods of patient data gained via IoT-enabled monitoring systems. The information gathered can be processed to aid clinicians with diagnoses, prognoses and interventions. This book is a great reference to those using, designing, modelling and analysing intelligent healthcare services.
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Older people --- Patient monitoring. --- Medical care. --- Monitoring (Hospital care) --- Monitoring, Patient --- Monitoring, Physiological --- Physiological monitoring --- Critical care medicine --- Diagnosis --- Vital signs
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Older people --- Patient monitoring. --- Medical care. --- Monitoring (Hospital care) --- Monitoring, Patient --- Monitoring, Physiological --- Physiological monitoring --- Critical care medicine --- Diagnosis --- Vital signs
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Clinical toxicology. --- Drug monitoring. --- Drugs --- Monitoring, Drug --- Therapeutic drug monitoring --- Patient monitoring --- Clinical medicine --- Toxicology --- Monitoring --- Analysis --- Testing --- Utilització de medicaments --- Toxicologia
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Outcome assessment (Medical care) --- Patient self-monitoring. --- Patient-centered health care. --- Medical care --- Medical self-monitoring --- Medical self-testing --- Patient self-testing --- Self-monitoring, Patient --- Self-testing, Patient --- Patient monitoring --- Self-care, Health --- Assessment of outcome (Medical care) --- Outcome evaluation (Medical care) --- Outcome measures (Medical care) --- Outcomes assessment (Medical care) --- Outcomes measurement (Medical care) --- Outcomes research (Medical care) --- Patient outcome assessment --- Evaluation
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Wearable Telemedicine Technology for the Healthcare Industry: Product Design and Development focuses on recent advances and benefits of wearable telemedicine techniques for remote health monitoring and prevention of chronic conditions, providing real time feedback and help with rehabilitation and biomedical applications. Readers will learn about various techniques used by software engineers, computer scientists and biomedical engineers to apply intelligent systems, artificial intelligence, machine learning, virtual reality and augmented reality to gather, transmit, analyze and deliver real-time clinical and biological data to clinicians, patients and researchers.
Medical technology --- Wearable technology --- Patient monitoring --- Design. --- Design and construction. --- Technological innovations. --- Critical care medicine --- Diagnosis --- Vital signs --- Monitoring (Hospital care) --- Monitoring, Patient --- Monitoring, Physiological --- Physiological monitoring --- Miniature electronic equipment --- Smart materials --- Flexible electronics --- Wearable devices --- Wearable electronics --- Wearable tech --- Wearables (Wearable technology) --- Technology --- Health care technology --- Health technology --- Telecommunication in medicine. --- Medical care --- Medical innovations. --- Wearable Electronic Devices --- Equipment Design --- Monitoring, Physiologic --- Patient Generated Health Data --- Telemedicine
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Nonlinear Control for Blood Glucose Regulation of Diabetic Patients: An LMI-Based Approach exposes readers to the various existing mathematical models that define the dynamics of glucose-insulin for Type 1 diabetes patients. After providing insights into the mathematical model of patients, the authors discuss the need and emergence of new control techniques that can lead to further development of an artificial pancreas. The book presents various nonlinear control techniques to address the challenges that Type 1 diabetic patients face in maintaining their blood glucose level in the safe range (70-180 mg/dl). The closed-loop solution provided by the artificial pancreas depends mainly on the effectiveness of the control algorithm, which acts as the brain of the system. APS control algorithms require a mathematical model of the gluco-regulatory system of the T1D patients for their design. Since the gluco-regulatory system is inherently nonlinear and largely affected by external disturbances and parametric uncertainty, developing an accurate model is very difficult.
Blood Glucose --- Pancreas, Artificial --- Glucose Metabolism Disorders --- Glucose Metabolic Disorder --- Glucose Metabolic Disorders --- Glucose Metabolism Disorder --- Disorder, Glucose Metabolic --- Disorder, Glucose Metabolism --- Disorders, Glucose Metabolic --- Disorders, Glucose Metabolism --- Metabolic Disorder, Glucose --- Metabolic Disorders, Glucose --- Metabolism Disorder, Glucose --- Metabolism Disorders, Glucose --- Artificial Pancreas --- Blood Sugar --- Glucose, Blood --- Sugar, Blood --- Glucose --- Glycemic Index --- blood --- Blood glucose monitoring --- Nonlinear control theory. --- Technological innovations. --- Control theory --- Nonlinear theories --- Blood glucose self-monitoring --- Blood sugar monitoring --- Monitoring, Blood glucose --- Blood glucose --- Patient monitoring --- Analysis --- Diabetes. --- Artificial pancreas. --- Diabetes Mellitus --- Models, Theoretical --- Mathematical models.
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This book presents some of the latest available information on automated ECG analysis written by many of the leading researchers in the field. It contains a historical introduction, an outline of the latest international standards for signal processing and communications and then an exciting variety of studies on electrophysiological modelling, ECG Imaging, artificial intelligence applied to resting and ambulatory ECGs, body surface mapping, big data in ECG based prediction, enhanced reliability of patient monitoring, and atrial abnormalities on the ECG. It provides an extremely valuable contribution to the field.
Medicine --- electrocardiographic imaging (ECGI) --- heart failure (HF) --- cardiac resynchronization therapy (CRT) --- ultrasound --- strain --- speckle tracking echocardiography --- in silico --- electrophysiology --- electrocardiogram --- ECG --- cardiac disease --- arrhythmia --- ischemia --- standardization --- computerized ECG --- personalized medicine --- telemedicine --- digital ECG data interchange protocol --- eHealth --- ECG equipment --- computerized electrocardiograph --- ECG analysis algorithms --- computerized ECG interpretation --- interatrial block --- partial interatrial block --- advanced interatrial block --- atypical patterns --- electrocardiogram (ECG) --- automated ECG analysis --- CSE study --- age --- sex --- race --- historical aspects --- electronic cohort --- mortality --- big data --- telehealth --- alarm fatigue --- annotation of ECG data --- arrhythmia alarms --- intensive care unit --- patient monitoring --- ambulatory ECG --- machine learning --- deep learning --- pattern recognition --- noise reduction --- Holter ECG --- ECG interpretation --- artificial intelligence --- body surface mapping --- electrocardiographic imaging --- image processing --- clinical applications --- electrocardiographic imaging (ECGI) --- heart failure (HF) --- cardiac resynchronization therapy (CRT) --- ultrasound --- strain --- speckle tracking echocardiography --- in silico --- electrophysiology --- electrocardiogram --- ECG --- cardiac disease --- arrhythmia --- ischemia --- standardization --- computerized ECG --- personalized medicine --- telemedicine --- digital ECG data interchange protocol --- eHealth --- ECG equipment --- computerized electrocardiograph --- ECG analysis algorithms --- computerized ECG interpretation --- interatrial block --- partial interatrial block --- advanced interatrial block --- atypical patterns --- electrocardiogram (ECG) --- automated ECG analysis --- CSE study --- age --- sex --- race --- historical aspects --- electronic cohort --- mortality --- big data --- telehealth --- alarm fatigue --- annotation of ECG data --- arrhythmia alarms --- intensive care unit --- patient monitoring --- ambulatory ECG --- machine learning --- deep learning --- pattern recognition --- noise reduction --- Holter ECG --- ECG interpretation --- artificial intelligence --- body surface mapping --- electrocardiographic imaging --- image processing --- clinical applications
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This book presents some of the latest available information on automated ECG analysis written by many of the leading researchers in the field. It contains a historical introduction, an outline of the latest international standards for signal processing and communications and then an exciting variety of studies on electrophysiological modelling, ECG Imaging, artificial intelligence applied to resting and ambulatory ECGs, body surface mapping, big data in ECG based prediction, enhanced reliability of patient monitoring, and atrial abnormalities on the ECG. It provides an extremely valuable contribution to the field.
electrocardiographic imaging (ECGI) --- heart failure (HF) --- cardiac resynchronization therapy (CRT) --- ultrasound --- strain --- speckle tracking echocardiography --- in silico --- electrophysiology --- electrocardiogram --- ECG --- cardiac disease --- arrhythmia --- ischemia --- standardization --- computerized ECG --- personalized medicine --- telemedicine --- digital ECG data interchange protocol --- eHealth --- ECG equipment --- computerized electrocardiograph --- ECG analysis algorithms --- computerized ECG interpretation --- interatrial block --- partial interatrial block --- advanced interatrial block --- atypical patterns --- electrocardiogram (ECG) --- automated ECG analysis --- CSE study --- age --- sex --- race --- historical aspects --- electronic cohort --- mortality --- big data --- telehealth --- alarm fatigue --- annotation of ECG data --- arrhythmia alarms --- intensive care unit --- patient monitoring --- ambulatory ECG --- machine learning --- deep learning --- pattern recognition --- noise reduction --- Holter ECG --- ECG interpretation --- artificial intelligence --- body surface mapping --- electrocardiographic imaging --- image processing --- clinical applications --- n/a
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