Detection of physical activity using machine learning methods

摘要

In the case of diabetes mellitus physical activity does have a high effect on the glycemic state of the patients. This is especially regarding the patients with Type 1 diabetes mellitus, who need external insulin administration in their daily life. Nevertheless, physical activity - as one source of stress - is underrepresented in the decisions of patients and medical staff and in the decisions of the available automated glucose regulatory devices. The goal of the study was to build up a simulation framework for data generation and to assess which machine learning solution can be the most accurate in the identification of physical activity.