07 / 2023 – 11 / 2023
A major issue in modern palliative medicine is the lack of objective and continuous assessment of the health status of patients. This status can be classified by measurement tools such as the Karnofsky index or ECOG (Eastern Cooperative Oncology Group) score . The suitability of patients for certain therapies is influenced by this measurement . The score of a patient within these scales is largely determined by the ability to perform so-called activities of daily living (ADL) . At the moment, physicians largely rely on questionnaires to assess performance of those ADL. However, this bears the risk that the examination is not representative, as it is collected at a single moment and the patient’s statement may be influenced by the presence of the doctor, and only reflects one point in time. In order to be able to get a more accurate and detailed overview of the current state of health, a passive and continuous assessment of these conditions would be beneficial .
Previous works within the Machine and Data Analytic Lab chose a novel ubiquitous approach to measure some of these activities. One of the selected activities was toothbrushing, which was assessed with a “smart” toothbrush. The device incorporates low power microcontrollers and sensors (accelerometer/gyrometer). Thus, the device passively records toothbrushing behaviour. The aim of this thesis is to i) continue a longitudinal observational analysis with healthy participants using the device, ii) the conduction of a longitudinal observational analysis with patients with reduced overall state of health using the device, and iii) the analysis of the toothbrushing data to investigate whether there is a correlation between toothbrushing and overall state of health. The underlying research question is whether is it possible to detect a decrease in overall stateof health analyzing toothbrushing behaviour.
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