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Background Agent-based models can be used to simulate population behaviour. Using the simulated behaviours, we can analyse the different components that affect the spread of infections. Our current experience with the pandemic has shown that different regions might have a different response to s... Continue

Background Monitoring and quantifying functional motion is essential for many clinical applications and disease pattern e.g., infectious spine diseases. Different measurement techniques ranging from manual assessment over Motion Capturing Systems (MoCap) and inertial measurement units (IMUs) are use... Continue

Background From a classical marker-based motion capture system (MoCap) you obtain the coordinates of placed markers, which are used to establish a biomechanical model. However, information of the subject's circumferences (silhouette) and surface effects is not provided, which is crucial in case of ... Continue

Background Electromyography (EMG) has been extensively used in various digital health applications. In this field, miniaturization is crucial, as health data shall be recorded without influencing the daily life of the patient. To meet these requirements while avoiding signal loss, wearable designs ... Continue

Background The COVID-19 pandemic has revealed the necessity and potential of digital systems in helping researchers tracking symptoms and other biomarkers of the population. The NUM-COMPASS project was funded to create a unified framework that helps researchers with developing apps for pandemic stu... Continue

Background Wearable technology often requires devices to be personalized in order to achieve comfort and usability requirements for a long-term, inconspicuous monitoring of the user health. We propose to implement an algorithm to automate the customization and fitting of smart clothes. Aim Implem... Continue

Background Machine learning methods can nowadays be very helpful to automatically collect data and build large-sized datasets. However, the retrieved datasets need to be cataloged before being further processed. The project aims at implementing a convenient algorithm for the automatic tagging of au... Continue

Background Auscultation is a standard medical practice performed by clinicians when inspecting a patient during preliminary examinations. Auscultation is usually performed by using the stethoscope to listen to the body sounds. Wearable technology can automatize listening to body sounds and make the... Continue

Background Electromyography (EMG) has been extensively used in various digital health applications. In this field, miniaturization is crucial, as health data shall be recorded without influencing the daily life of the patient. To meet these requirements while avoiding signal loss, wearable designs ... Continue

Background Monitoring and quantifying evaluation of functional motion is essential for many clinical applications and disease pattern e.g. patients suffering from ankylosing spondylitis (AS), a form of arthritis affecting primarily the spine. Therefore, different measurement techniques ranging from... Continue