Archive

NUM-COMPASS is a collaboration of the Netzwerk Universitätsmedizin, which was founded to develop best practices for pandemic health applications that can be used in a unified framework. Scientists and industry partners from a wide range of backgrounds gather to combine know-how in a coordination an... Continue

Background Dental problems are one of the most prevalent clinical conditions. While oral care method have improved substantially over the last 100 years, incidence rates of tooth and gum problems are persisting or even increasing. For example, bacteria acids erode the tough tooth enamel and subs... Continue

Background 3D photometric reconstruction is a powerful approach to represent organs or body parts digitally. Various machine learning (ML)-pipelines for reconstruction assume rigid bodies or colour differences to estimate depth information. Yet other techniques use depth cameras, e.g. as built i... Continue

Background Inertial measurement units (IMUs) enable biomechanists and rehabilitation researchers to continuously measure the kinematics of a variety of humans in their natural environment, thereby improving our understanding of human movement pathology. Previous studies have computed IMU-based e... 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 ... Continue

Background Today's data collection usually uses different types of sensors that store data in different formats. Therefore, a well-structured database is a useful tool for further processing of the data. Especially in context recognition tasks, annotating the merged data plays a key role in bein... 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, RR intervals (RRI) in electrocardiogram). Th... Continue

Background: To automate the analysis of consumed food for dietary monitoring, several approaches have been tried. Two promising ideas are a) electromyographic (EMG) monitoring of the masseter muscle, and b) acoustic measurements to capture chewing sounds. While EMG data can be used well for segment... 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 w... Continue

Background: Novel wireless in-ear headphones can do more than playing music. They come with various types of sensors, e.g. microphones, or inertial measurement unit (IMU). In past research, earables have been used to monitor dietary activity in free living using microphones, which capture e.g. che... Continue