Over-distension prediction via hysteresis loop analysis and patient-specific basis functions in a virtual patient model
Background and objective Recruitment maneuvers (RMs) with subsequent positive-end-
expiratory-pressure (PEEP) have proven effective in recruiting lung volume and preventing …
expiratory-pressure (PEEP) have proven effective in recruiting lung volume and preventing …
Model-based glycemic control in a Malaysian intensive care unit: performance and safety study
Background: Stress-induced hyperglycemia is common in critically ill patients. A few forms of
model-based glycemic control have been introduced to reduce this phenomena and among …
model-based glycemic control have been introduced to reduce this phenomena and among …
Electroencephalogram spectral moments for the detection of nocturnal hypoglycemia
Hypoglycemia or low blood glucose is the most feared complication of insulin treatment of
diabetes. For people with diabetes, the mismatch between the insulin therapy and the body's …
diabetes. For people with diabetes, the mismatch between the insulin therapy and the body's …
Pulmonary response prediction through personalized basis functions in a virtual patient model
Abstract Background and Objective Recruitment maneuvers with subsequent positive-end-
expiratory-pressure (PEEP) have proven effective in recruiting lung volume and preventing …
expiratory-pressure (PEEP) have proven effective in recruiting lung volume and preventing …
The effect of hypoglycemia on spectral moments in EEG epochs of different durations in type 1 diabetes patients
The potential of using an electroencephalogram (EEG) to detect hypoglycemia in patients
with type 1 diabetes (T1D) has been investigated in both time and frequency domains …
with type 1 diabetes (T1D) has been investigated in both time and frequency domains …
Nocturnal hypoglycemia detection using EEG spectral moments under natural occurrence conditions
This paper is concerned with a study of hypoglycemia under natural occurrence conditions
at night time. Five adolescents with type 1 diabetes (T1D) participated in the experiments …
at night time. Five adolescents with type 1 diabetes (T1D) participated in the experiments …
[HTML][HTML] Comparison of three artificial intelligence methods for predicting 90% quantile interval of future insulin sensitivity of intensive care patients
Insulin dosing of hyperglycemic patients in the intensive care unit (ICU) is a complex and
nonlinear clinical control problem. Recent model-based glycemic control protocols predict a …
nonlinear clinical control problem. Recent model-based glycemic control protocols predict a …
Clinical trial validation of the STAR-3D glycemic control framework
Glycemic control (GC) to regulate dysglycemia in critically ill patients is associated with
improved outcomes. However, it has been hard to achieve safely due to metabolic …
improved outcomes. However, it has been hard to achieve safely due to metabolic …
Translating A Risk-Based Glycaemic Control Framework for Critically Ill Patients: STAR-Liège
Glycaemic control (GC) in the intensive care unit (ICU) has been widely debated over the
last 20 years. While many studies showed benefits, many others failed to replicate the …
last 20 years. While many studies showed benefits, many others failed to replicate the …
The goldilocks problem: Nutrition and its impact on glycaemic control
Background Glucose intolerance and insulin resistance manifest as hyperglycaemia in
intensive care, which is associated with mortality and morbidities. Glycaemic control (GC) …
intensive care, which is associated with mortality and morbidities. Glycaemic control (GC) …