Download or read book Prediction Methods for Blood Glucose Concentration written by Harald Kirchsteiger and published by Springer. This book was released on 2015-11-24 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Personalized Predictive Modeling in Type 1 Diabetes written by Eleni I. Georga and published by Academic Press. This book was released on 2017-12-11 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: Personalized Predictive Modeling in Diabetes features state-of-the-art methodologies and algorithmic approaches which have been applied to predictive modeling of glucose concentration, ranging from simple autoregressive models of the CGM time series to multivariate nonlinear regression techniques of machine learning. Developments in the field have been analyzed with respect to: (i) feature set (univariate or multivariate), (ii) regression technique (linear or non-linear), (iii) learning mechanism (batch or sequential), (iv) development and testing procedure and (v) scaling properties. In addition, simulation models of meal-derived glucose absorption and insulin dynamics and kinetics are covered, as an integral part of glucose predictive models. This book will help engineers and clinicians to: select a regression technique which can capture both linear and non-linear dynamics in glucose metabolism in diabetes, and which exhibits good generalization performance under stationary and non-stationary conditions; ensure the scalability of the optimization algorithm (learning mechanism) with respect to the size of the dataset, provided that multiple days of patient monitoring are needed to obtain a reliable predictive model; select a features set which efficiently represents both spatial and temporal dependencies between the input variables and the glucose concentration; select simulation models of subcutaneous insulin absorption and meal absorption; identify an appropriate validation procedure, and identify realistic performance measures. Describes fundamentals of modeling techniques as applied to glucose control Covers model selection process and model validation Offers computer code on a companion website to show implementation of models and algorithms Features the latest developments in the field of diabetes predictive modeling
Download or read book Engineering Applications of Neural Networks written by Lazaros S. Iliadis and published by Springer Science & Business Media. This book was released on 2011-09-08 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set IFIP AICT 363 and 364 constitutes the refereed proceedings of the 12th International Conference on Engineering Applications of Neural Networks, EANN 2011, and the 7th IFIP WG 12.5 International Conference, AIAI 2011, held jointly in Corfu, Greece, in September 2011. The 52 revised full papers and 28 revised short papers presented together with 31 workshop papers were carefully reviewed and selected from 150 submissions. The first volume includes the papers that were accepted for presentation at the EANN 2011 conference. They are organized in topical sections on computer vision and robotics, self organizing maps, classification/pattern recognition, financial and management applications of AI, fuzzy systems, support vector machines, learning and novel algorithms, reinforcement and radial basis function ANN, machine learning, evolutionary genetic algorithms optimization, Web applications of ANN, spiking ANN, feature extraction minimization, medical applications of AI, environmental and earth applications of AI, multi layer ANN, and bioinformatics. The volume also contains the accepted papers from the Workshop on Applications of Soft Computing to Telecommunication (ASCOTE 2011), the Workshop on Computational Intelligence Applications in Bioinformatics (CIAB 2011), and the Second Workshop on Informatics and Intelligent Systems Applications for Quality of Life Information Services (ISQLIS 2011).
Download or read book Data driven Modeling for Diabetes written by Vasilis Marmarelis and published by Springer Science & Business. This book was released on 2014-04-22 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: This contributed volume presents computational models of diabetes that quantify the dynamic interrelationships among key physiological variables implicated in the underlying physiology under a variety of metabolic and behavioral conditions. These variables comprise for example blood glucose concentration and various hormones such as insulin, glucagon, epinephrine, norepinephrine as well as cortisol. The presented models provide a powerful diagnostic tool but may also enable treatment via long-term glucose regulation in diabetics through closed-look model-reference control using frequent insulin infusions, which are administered by implanted programmable micro-pumps. This research volume aims at presenting state-of-the-art research on this subject and demonstrating the potential applications of modeling to the diagnosis and treatment of diabetes. The target audience primarily comprises research and experts in the field but the book may also be beneficial for graduate students.
Download or read book Handbook of Optical Sensing of Glucose in Biological Fluids and Tissues written by Valery V. Tuchin and published by CRC Press. This book was released on 2008-12-22 with total page 744 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although noninvasive, continuous monitoring of glucose concentration in blood and tissues is one of the most challenging areas in medicine, a wide range of optical techniques has recently been designed to help develop robust noninvasive methods for glucose sensing. For the first time in book form, the Handbook of Optical Sensing of Glucose in Biological Fluids and Tissues analyzes trends in noninvasive optical glucose sensing and discusses its impact on tissue optical properties. This handbook presents methods that improve the accuracy in glucose prediction based on infrared absorption spectroscopy, recent studies on the influence of acute hyperglycemia on cerebral blood flow, and the correlation between diabetes and the thermo-optical response of human skin. It examines skin glucose monitoring by near-infrared spectroscopy (NIR), fluorescence-based glucose biosensors, and a photonic crystal contact lens sensor. The contributors also explore problems of polarimetric glucose sensing in transparent and turbid tissues as well as offer a high-resolution optical technique for noninvasive, continuous, and accurate blood glucose monitoring and glucose diffusion measurement. Written by world-renowned experts in biomedical optics and biophotonics, this book gives a complete, state-of-the-art treatise on the design and applications of noninvasive optical methods and instruments for glucose sensing.
Download or read book Computer Prediction of Blood Glucose Concentration written by David John Cooper and published by . This book was released on 1988 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Prediction of Glucose for Enhancement of Treatment and Outcome written by Scott Michael Pappada and published by . This book was released on 2010 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Critical care (e.g. trauma and cardiothoracic surgical) and diabetic patients are prone to variability in glucose concentration on a daily basis. Hypoglycemic and hyperglycemic glucose values in these patient populations have been associated with decreased patient outcomes. In diabetic patients, persistently elevated glucose values are associated with development of long term complications such as, but not limited to retinopathy, neuropathy, and nephropathy. In the critical care patient population, elevated glucose has been correlated to increases in mortality, length of stay in the intensive care unit (ICU), and morbidities. The maintenance of tight glycemic control in these patients without severe hypoglycemia or glycemic variability appears to improve outcomes in these patients. Various factors are associated with future glycemic excursions such as, but not limited to: lifestyle/activities (e.g. sleep-wake cycles), emotional factors (e.g. stress), nutritional intake, medication dosages, and ICU medical records (in critical care patients). In the field of diabetes research, models for prediction of glucose and/or models used to maintain tight glycemic control have been the focus of research. In the critical care patient population, very little research into development of such models has been completed to date. Multiple factors affect or are indicators of future glucose concentration. A suitable modeling technique needs to incorporate the effect of such factors for accurate prediction of glucose. A modeling technique well suited for this task is a neural network model. A neural network is an adapative modeling technique, which learns and updates model parameters based on determining patterns/trends existent in input data. This adapative capability, makes neural network modeling well suited for prediction of glucose where multiple factors impact future glycemic excursions. This dissertation summarizes the development and optimization of various neural network model architectures for the real-time prediction of glucose in diabetic and critical care patients. Neural network models were configured to predict glucose using prediction horizons>60 minutes, which have not been attained in many predictive models to date. The performance of the neural network model is assessed via determination of overall model error, percentage of glycemic extremes predicted, and clinical acceptability of model predictions as determined via Clarke Error Grid Analysis.
Download or read book Glucose Monitoring Devices written by Chiara Fabris and published by Academic Press. This book was released on 2020-06-02 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Glucose Monitoring Devices: Measuring Blood Glucose to Manage and Control Diabetes presents the state-of-the-art regarding glucose monitoring devices and the clinical use of monitoring data for the improvement of diabetes management and control. Chapters cover the two most common approaches to glucose monitoring–self-monitoring blood glucose and continuous glucose monitoring–discussing their components, accuracy, the impact of use on quality of glycemic control as documented by landmark clinical trials, and mathematical approaches. Other sections cover how data obtained from these monitoring devices is deployed within diabetes management systems and new approaches to glucose monitoring. This book provides a comprehensive treatment on glucose monitoring devices not otherwise found in a single manuscript. Its comprehensive variety of topics makes it an excellent reference book for doctoral and postdoctoral students working in the field of diabetes technology, both in academia and industry. Presents a comprehensive approach that spans self-monitoring blood glucose devices, the use of continuous monitoring in the artificial pancreas, and intraperitoneal glucose sensing Provides a high-level descriptions of devices, as well as detailed mathematical descriptions of methods and techniques Written by experts in the field with vast experience in the field of diabetes and diabetes technology
Download or read book Handbook of Intelligent Computing and Optimization for Sustainable Development written by Mukhdeep Singh Manshahia and published by John Wiley & Sons. This book was released on 2022-02-11 with total page 944 pages. Available in PDF, EPUB and Kindle. Book excerpt: HANDBOOK OF INTELLIGENT COMPUTING AND OPTIMIZATION FOR SUSTAINABLE DEVELOPMENT This book provides a comprehensive overview of the latest breakthroughs and recent progress in sustainable intelligent computing technologies, applications, and optimization techniques across various industries. Optimization has received enormous attention along with the rapidly increasing use of communication technology and the development of user-friendly software and artificial intelligence. In almost all human activities, there is a desire to deliver the highest possible results with the least amount of effort. Moreover, optimization is a very well-known area with a vast number of applications, from route finding problems to medical treatment, construction, finance, accounting, engineering, and maintenance schedules in plants. As far as optimization of real-world problems is concerned, understanding the nature of the problem and grouping it in a proper class may help the designer employ proper techniques which can solve the problem efficiently. Many intelligent optimization techniques can find optimal solutions without the use of objective function and are less prone to local conditions. The 41 chapters comprising the Handbook of Intelligent Computing and Optimization for Sustainable Development by subject specialists, represent diverse disciplines such as mathematics and computer science, electrical and electronics engineering, neuroscience and cognitive sciences, medicine, and social sciences, and provide the reader with an integrated understanding of the importance that intelligent computing has in the sustainable development of current societies. It discusses the emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative intelligent techniques in a variety of sectors, including IoT, manufacturing, optimization, and healthcare. Audience It is a pivotal reference source for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research in emerging perspectives in the field of artificial intelligence in the areas of Internet of Things, renewable energy, optimization, and smart cities.
Download or read book Closed Loop Control of Blood Glucose written by Frederick Chee and published by Springer. This book was released on 2007-10-24 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents closed-loop blood glucose control in a simple manner, which includes the hardware and "software" components that make up the control system. It provides examples on how mathematical models are formulated as well as the control algorithms that stem from mathematical exercises. The book also describes the basic physiology of blood glucose regulation during fasting and meal from a functional level.
Download or read book Functional Brain Imaging written by William W. Orrison and published by Elsevier Health Sciences. This book was released on 2017-02-24 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Functional Brain Imaging
Download or read book Nanotechnology and Biosensors written by Dimitrios P Nikolelis and published by Elsevier. This book was released on 2018-06-27 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nanotechnology and Biosensors shows how nanotechnology is used to create affordable, mass-produced, portable, small sized biosensors to directly monitor environmental pollutants. In addition, it provides information on their integration into components and systems for mass market applications in food analysis, environmental monitoring and health diagnostics. Nanotechnology has led to a dramatic improvement in the performance, sensitivity and selectivity of biosensors. As metal-oxide and carbon nanostructures, gold and magnetite nanoparticles, and the integration of dendrimers in biosensors using nanotechnology have contributed greatly in making biosensors more effective and affordable on a mass-market level, this book presents a timely resource on the topic. - Highlights nanotechnology-based approaches to the detection of enzyme inhibitors, direct enzymatic and microbial detection of metabolites, and nutrients using biosensors - Includes examples on how nanotechnology has lead to improvements in the construction of portable, selective and sensitive biosensing devices - Offers thorough coverage of biomarker/biosensor interaction for the rapid detection of toxicants and pollutants
Download or read book In Vitro Glucose Sensing Using Near infrared Spectroscopy written by Robert D. Whiton and published by . This book was released on 1998 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Comparative Study of Glucose Measurement by Using Incoherent and Coherent Sources written by Dogukan Yildirim and published by . This book was released on 2011 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt: Diabetes mellitus is a chronic systemic disease which can cause severe long-term complications due to poor glucose monitoring. Therefore, blood glucose concentrations should be measured frequently. Tight control of blood glucose by conventional glucose meter is painful and inconvenient for diabetic patients and it is invasive. Non-invasive optical glucose measurement techniques are painless, convenient, continuous, and reduce long-term complications, and hence they are preferred by patients and health practitioners. Near-infrared (NIR) spectroscopy is a non-invasive optical glucose measurement method that has been studied for past two decades. NIR spectral region consists of overtone and combination bands of glucose and some parts of it are less affected by water absorption. As a result, the light penetration is high in NIR region, thereby allowing optical path lengths of 1 to 10 mm in tissue. In this thesis we studied NIR spectroscopy to detect glucose absorption peaks by using incoherent light source (ILS) and coherent light source (CLS). In particular, NIR absorption spectra of glucose dissolved in deionized water were measured with a 10 mm optical path length. Measurements were carried out in the wavelength range 1530-1590 nm and 1510-1620 nm by ILS and CLS, respectively. The glucose concentrations ranged from 118 mg/dL to 447 mg/dL for ILS, and ranged from 120 mg/dL to 523 mg/dL for CLS. Multivariate calibration model was developed by using partial least-squares (PLS) regression analysis. The standard error of predictions (SEP) of 25.3196 mg/dL and of 6.6543 mg/dL were obtained by ILS and CLS, respectively. Finally, Clarke error grid analysis (EGA) was applied to the PLS glucose concentration prediction results. 75% of predicted results felt in zone A which represents clinically accurate or acceptable results and 25% of them felt in zone B which represents benign action or inaction by the user in the case of ILS. However, 100% of predicted results felt in zone A in the case of CLS. These results demonstrate the potential advantage of coherent light source for non-invasive NIR glucose monitoring.
Download or read book Glucose Sensing written by Chris D. Geddes and published by Springer Science & Business Media. This book was released on 2007-12-29 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: An essential reference for any laboratory working in the analytical fluorescence glucose sensing field. The increasing importance of these techniques is typified in one emerging area by developing non-invasive and continuous approaches for physiological glucose monitoring. This volume incorporates analytical fluorescence-based glucose sensing reviews, specialized enough to be attractive to professional researchers, yet appealing to a wider audience of scientists in related disciplines of fluorescence.
Download or read book Advanced Bioscience and Biosystems for Detection and Management of Diabetes written by Kishor Kumar Sadasivuni and published by Springer Nature. This book was released on 2022-07-01 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the medical condition of diabetic patients, their early symptoms and methods conventionally used for diagnosing and monitoring diabetes. It describes various techniques and technologies used for diabetes detection. The content is built upon moving from regressive technology (invasive) and adapting new-age pain-free technologies (non-invasive), machine learning and artificial intelligence for diabetes monitoring and management. This book details all the popular technologies used in the health care and medical fields for diabetic patients. An entire chapter is dedicated to how the future of this field will be shaping up and the challenges remaining to be conquered. Finally, it shows artificial intelligence and predictions, which can be beneficial for the early detection, dose monitoring and surveillance for patients suffering from diabetes
Download or read book Advances in Artificial Pancreas Systems written by Ali Cinar and published by Springer. This book was released on 2018-03-01 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: This brief introduces recursive modeling techniques that take account of variations in blood glucose concentration within and between individuals. It describes their use in developing multivariable models in early-warning systems for hypo- and hyperglycemia; these models are more accurate than those solely reliant on glucose and insulin concentrations because they can accommodate other relevant influences like physical activity, stress and sleep. Such factors also contribute to the accuracy of the adaptive control systems present in the artificial pancreas which is the focus of the brief, as their presence is indicated before they have an apparent effect on the glucose concentration and so can be more easily compensated. The adaptive controller is based on generalized predictive control techniques and also includes rules for changing controller parameters or structure based on the values of physiological variables. Simulation studies and clinical studies are reported to illustrate the performance of the techniques presented.
