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Closed-Loop Control of Blood Glucose
Frederick Chee Tyrone Fernando
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Disponibilidad
Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
---|---|---|---|---|
No detectada | 2007 | SpringerLink |
Información
Tipo de recurso:
libros
ISBN impreso
978-3-540-74030-8
ISBN electrónico
978-3-540-74031-5
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
2007
Información sobre derechos de publicación
© Springer-Verlag Berlin Heidelberg 2007
Cobertura temática
Tabla de contenidos
Introduction
Hyperglycaemia refers to an elevated glucose concentration in the circulating blood. While blood glucose level (BG) is often elevated after a meal, it usually normalises to a range of 3.5–5.6 mmol/l within 3 hours of a meal in a healthy individual. During fasting, BGs are also usually maintained within the normal range of 3.5–5.6 mmol/l [1].
Palabras clave: Blood Glucose; Blood Glucose Concentration; Good Glycaemic Control; Blood Glucose Target; Blood Glucose Level Control.
Pp. 1-4
Glucose Control: Input and Output
Automatic regulation of a patient’s blood glucose (BG) level requires a minimum of three components, namely, a continuous BG sensor, a controller that matches BG level with an appropriate insulin delivery rate, and an infusion pump to deliver the insulin to the subject.
Palabras clave: Blood Glucose; Optical Coherence Tomography; Glucose Control; Glucose Sensor; Blood Glucose Measurement.
Pp. 5-48
Glucose Control: Patient Dynamics
The role of the control algorithm in a closed-loop insulin delivery system is to regulate the patient’s BG level, replacing the intrinsic glucose regulatory function, which is abnormal in diabetics. To develop an effective algorithm, a knowledge of how glucose is intrinsically regulated in a healthy person is essential.
Palabras clave: Beta Cell; Glucose Control; Blood Glucose Concentration; Insulin Infusion; Intensive Insulin Therapy.
Pp. 49-57
Mathematics of Glucose Control
We have looked at blood glucose measurement, insulin infusion (Chapter 2), and the characteristics of the patient in terms of the blood glucose control (Chapter 3). In this chapter, we look at the control algorithms (or the “smarts”) that, when worked together with the glucose sensor and insulin infusion pump, would ideally re-balance a patient’s blood glucose level.
Palabras clave: Glucose Control; Insulin Infusion; Model Predictive Control; Insulin Rate; Insulin Infusion Rate.
Pp. 59-108
Closed-Loop Control Apparatus Example
MiniMed® CGMS is, perhaps, the first commercially-available subcutaneous glucose sensor for use by the masses. CGMS consists of a disposable subcutaneous glucose sensor assembly connected by a cable to a pager-sized glucose monitor. CGMS takes a glucose measurement every 10 seconds and stores a smoothed and filtered average of these values every 5 minutes in the memory bank on-board.
Palabras clave: Liquid Crystal Display; Glucose Sensor; Sensor Reading; Regression Calibration; Sensor Assembly.
Pp. 109-126
Conclusions
Researches have found that a well-controlled BG greatly reduces the mortality and morbidity associated with diabetes. A closed-loop control system could be used to achieve a tight BG control. It can be seen (in Chapter 4) that designing a closed-loop system for BG control is not an easy task. The design of the closed-loop system needs to consider the characteristics of each components in the system, the design of the control algorithm, and how the combination (of the sensor, infuser and algorithm) can achieve the desired outcome. The design of the control algorithm depends on the selection of the BG measurement method and insulin infusion routes. The selection of the BG measurement method and insulin infusion route depends on the available technology and issue of safety associated with the selected method/routes.
Pp. 127-128