Glucose Monitoring Devices

Measuring Blood Glucose to Manage and Control Diabetes

Häftad, Engelska, 2020

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Beskrivning

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

Produktinformation

Utgivningsdatum:2020-06-02
Mått:191 x 235 x 21 mm
Vikt:790 g
Format:Häftad
Språk:Engelska
Antal sidor:384
Förlag:Elsevier Science
ISBN:9780128167144

Utforska kategorier

Medicin: diabetes inom Medicin
Biokemisk teknik inom Naturvetenskap och teknik
Biomedicinsk teknik inom Medicin

Mer om författaren

Dr. Chiara Fabris is Assistant Professor at the University of Virginia School of Medicine and member of the faculty at the Center for Diabetes Technology. She holds a Master’s and a Doctoral Degree in Bioengineering from the University of Padova (Padova, Italy) and has significant experience in mathematical modeling and simulation – especially regarding the glucose/insulin regulation system – and algorithm development. Over the past four years, Dr. Fabris has been awarded an Advanced Postdoctoral Fellowship and a Career Development Award by the Juvenile Diabetes Research Foundation, which supported the development and clinical testing of decision support systems to help people with diabetes manage their disease. Dr. Fabris is involved in several projects focused on optimization of treatments for diabetes and diabetes data science. Dr. Boris Kovatchev is Professor at the University of Virginia School of Medicine and School of Engineering, and founding director of the Center for Diabetes Technology. He has a 30-year track record in mathematical modeling, biosimulation, and algorithm development. Currently, he is Principal Investigator of several projects dedicated to Diabetes Data Science and the development of artificial pancreas and decision support systems, including the large-scale NIH International Diabetes Closed-Loop Trial and the UVA Strategic Investment Fund project “Precision Individualized Medicine for Diabetes. Dr. Kovatchev is author of over 200 peer-reviewed publications and holds 85 patents.

Innehållsförteckning

SECTION 1: SELF-MONITORING BLOOD GLUCOSE DEVICES1. Introduction to SMBG2. Analytical performance of SMBG systems3. Clinical evaluation of SMBG systems4. Consequences of SMBG systems inaccuracy5. Modeling the SMBG measurement error SECTION 2: CONTINUOUS GLUCOSE MONITORING DEVICES6. CGM sensor technology7. Clinical impact of CGM use8. Accuracy of CGM systems9. Calibration of CGM systems10. CGM filtering and denoising techniques11. Retrofitting CGM traces12. Modeling the CGM measurement error SECTION 3: CLINICAL USE OF MONITORING DATA13. Low-glucose suspend systems14. Predictive low-glucose suspend systems15. Automated closed-loop insulin delivery: system components, performance, and limitations16. The dawn of automated insulin delivery: from promise to product