3 results match your criteria: "Cardiac Rehabilitation Institute of the Military Hospital[Affiliation]"

Background: Using Ambient Assisted Living sensors to detect acute stress could help people mitigate the harmful effects of everyday stressful situations. This would help both the healthy and those affected more by sudden stressors, e.g.

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: The daily lifestyle management of diabetes requires accurate predictions of the blood glucose level between meals. The objective of this study was to improve the accuracy achieved by previous work, especially on the mid-term, i.e.

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After-meal blood glucose level prediction using an absorption model for neural network training.

Comput Biol Med

October 2020

Cardiac Rehabilitation Institute of the Military Hospital, Balatonfüred, Hungary; Department of Preventive Medicine, University of Szeged, Szeged, Hungary. Electronic address:

Background: Diabetes Mellitus outpatients would benefit from a lifestyle support tool that delivers reliable short term Blood Glucose Level (BGL) predictions.

Aim: To develop a method for BGL prediction based on the baseline BGL, the insulin dosing and a dietary log.

Methods: A new training method is proposed for a neural network in which an absorption model is applied that uses the nutrient contents of meals.

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