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Background It is considered impossible to know the maximum possible learning performance of a machine learning (ML) algorithm on a given dataset before running the algorithm. The performance of an ML algorithm depends on many factors, such as the quality and size of the data, the complexity of t... Continue

Background It is considered impossible to know the maximum possible learning performance of a machine learning (ML) algorithm on a given dataset before running the algorithm. The performance of an ML algorithm depends on many factors, such as the quality and size of the data, the complexity of t... Continue

Background Digital health applications (German: “Digitale Gesundheitsanwendung”, DiGA) are the basis for a rapid time-to-market of health and medical apps. This seminar starts with an international overview of digital health app regulations and an introduction to the pioneering German DiGA act. ... Continue

Background An open challenge in epidemiology is effectively estimating the impact of aerosol particles and droplets generated by infectious individuals in the propagation of aerosolised viral loads. When considering indoor interventions, the activity and the number of particles generated during ... Continue

Background The I2MB simulator is a simulation engine that uses activities and behaviour descriptors to determine emergent behaviours of populations. I2MB is designed to provide insight into situations where we do not have the data to create evidence-based models. In particular, I2MB was designed... 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 ... 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 Adolescent girls with AN undergo high levels of stress, which has been shown as risk factor in the development of eating disorders. Widely examined autonomic indices for stress reactivity are heart rate (HR) and heart rate variability (HRV, R-R intervals (RRI) in electrocardiogram). T... Continue

Background A commonly known problem with accelerometers, inertial sensors or other measurement systems based on sensors attached to the skin are signal distortions or artefacts caused by vibration of the skin and soft tissues. To accurately measure acceleration/angular velocity during movement, ... Continue