The AuRelia project addresses the challenges of using health sensors in lunar missions and emphasises the important aspects of sensor autonomy in the context of seismocardiography (SCG) sensors.
The BEAT project focuses on the development of a method for unobtrusively monitoring the cardiovascular system of astronauts on the ISS. Smart sensors in the T-shirt measure minimal chest movements, transmit the data wirelessly to earth and show promising results.
The Digital Healthcare Act enables the prescription of digital health applications (DiGA). A systematic literature review shows shortcomings in the evidence for DiGA, which need to be addressed with appropriate measures.
The project investigates the prevalence of ventricular arrhythmias in patients with hypertrophic cardiomyopathy (HCM) using mHealth-based continuous rhythm monitoring.
In preparation for the Artemis moon missions, the development of radiation-tolerant health sensors is of crucial importance. The SArES project aims to monitor and improve the cardiovascular health of astronauts in space conditions.
SMaRT (Sensation Mapping and Reporting Tool) is a specialised scientific research software that provides a comprehensive and innovative platform for mapping and documenting human sensations.
The aim of the MeCS-Kol project of the medical school OWL is to research and improve the care of people with disabilities and chronic diseases. In this context, Digital Medicine is working with project partners from the faculty to design a digital learning platform for teaching and training in dealing with these patient groups.
More than technique, more than fighting - martial arts as a mirror of culture and humanity.
Scientia Artis Martialis opens up a view of the often overlooked side of martial arts: their significance for history, society, Philosophy and psychology. A platform for essays, impulses and research - interdisciplinary, reflective and curious.
With the AI-supported learning format SimulAItients, we are developing an innovative tool for training medical decision-making ("clinical reasoning") and clinical skills. Using dialogue-based, text-controlled patient avatars, SimulAItients enables individual training that is independent of time and location.
