Prediction of nocturnal hypoglycemia by an aggregation of previously known prediction approaches: proof of concept for clinical application

According to a report of a Workgroup of the American Diabetes Association and the Endocrine Society [1] hypoglycemia is defined as blood glucose (BG) level less than 70  mg/dL. Nocturnal hypoglycemia (NH) is the most feared type of hypoglycemia in patients with diabetes treated by insulin. Due to its time of occurrence, it is usually asymptomatic [2,3] but has negative impact on patients' health. NH problem is less worrisome for patients equipped with Continuous Glucose Monitors (CGM), especially when they are combined with other sensors that can be used for detecting NH, such as electrocardiogram (ECG) sensors [4] or electroencephalogram (EEG) sensors [5].

Source: Computer Methods and Programs in Biomedicine - July 7, 2016 Category: Bioinformatics Authors: Pavlo Tkachenko, Galyna Kriukova, Marharyta Aleksandrova, Oleg Chertov, Eric Renard, Sergei V. Pereverzyev Source Type: research