Diabetes: models, signals, and control
The control of diabetes is an interdisciplinary endeavor, which includes a significant
biomedical engineering component, with traditions of success beginning in the early 1960s …
biomedical engineering component, with traditions of success beginning in the early 1960s …
Continuous glucose monitoring and closed‐loop systems
R Hovorka - Diabetic medicine, 2006 - Wiley Online Library
Background The last two decades have witnessed unprecedented technological progress in
the development of continuous glucose sensors, resulting in the first generation of …
the development of continuous glucose sensors, resulting in the first generation of …
Preventing undesirable behavior of intelligent machines
Intelligent machines using machine learning algorithms are ubiquitous, ranging from simple
data analysis and pattern recognition tools to complex systems that achieve superhuman …
data analysis and pattern recognition tools to complex systems that achieve superhuman …
Manual closed-loop insulin delivery in children and adolescents with type 1 diabetes: a phase 2 randomised crossover trial
R Hovorka, JM Allen, D Elleri, LJ Chassin, J Harris… - The Lancet, 2010 - thelancet.com
Background Closed-loop systems link continuous glucose measurements to insulin delivery.
We aimed to establish whether closed-loop insulin delivery could control overnight blood …
We aimed to establish whether closed-loop insulin delivery could control overnight blood …
A review of emerging technologies for the management of diabetes mellitus
Objective: High prevalence of diabetes mellitus (DM) along with the poor health outcomes
and the escalated costs of treatment and care poses the need to focus on prevention, early …
and the escalated costs of treatment and care poses the need to focus on prevention, early …
A machine-learning approach to predict postprandial hypoglycemia
Background For an effective artificial pancreas (AP) system and an improved therapeutic
intervention with continuous glucose monitoring (CGM), predicting the occurrence of …
intervention with continuous glucose monitoring (CGM), predicting the occurrence of …
The use of reinforcement learning algorithms to meet the challenges of an artificial pancreas
MK Bothe, L Dickens, K Reichel… - Expert review of …, 2013 - Taylor & Francis
Blood glucose control, for example, in diabetes mellitus or severe illness, requires strict
adherence to a protocol of food, insulin administration and exercise personalized to each …
adherence to a protocol of food, insulin administration and exercise personalized to each …
Multicentric, randomized, controlled trial to evaluate blood glucose control by the model predictive control algorithm versus routine glucose management protocols in …
J Plank, J Blaha, J Cordingley, ME Wilinska… - Diabetes …, 2006 - Am Diabetes Assoc
OBJECTIVE—To evaluate a fully automated algorithm for the establishment of tight glycemic
control in critically ill patients and to compare the results with different routine glucose …
control in critically ill patients and to compare the results with different routine glucose …
Microneedles and transdermal applications
RK Sivamani, D Liepmann… - Expert opinion on drug …, 2007 - Taylor & Francis
With the limitations of oral drug delivery and the pain and needle phobias associated with
traditional injections, drug delivery research has focused on the transdermal delivery route …
traditional injections, drug delivery research has focused on the transdermal delivery route …
Recent progress in analytical instrumentation for glycemic control in diabetic and critically ill patients
VR Kondepati, HM Heise - Analytical and bioanalytical chemistry, 2007 - Springer
Implementing strict glycemic control can reduce the risk of serious complications in both
diabetic and critically ill patients. For this reason, many different analytical, mainly …
diabetic and critically ill patients. For this reason, many different analytical, mainly …