Student Projects

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 ... 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 under moti... 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 catalogued before being further processed. Classification may require expert knowledge annotation to train the algorithm, and ... Continue

Background Privacy and functionality are usually considered at odds with each other. As data privacy practices are enforced, data becomes a scarce resource. In order to balance the protection of user privacy with functional services, the European Union enforced the general data protection regula... Continue

Background: Wearables, including smartwatches, as well as smartphones are equipped with several sensors, which allow monitoring of data relevant to retrieve digital biomarkers. Some of the biomarkers measured by wearables are already common in daily life (e.g. step counters), which foreshadows a fu... Continue

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