WS2020/21

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

Background Musculoskeletal modeling has gained popularity over the last decade as it represents a valuable tool to noninvasively investigate the relationship between body motion and internal biomechanical loads. Furthermore, it allows the simulation of motion sensor data, which is subsequently cons... Continue

Background Neural Networks outperform traditional machine learning approaches in many applications. This is very often caused by high computational efforts of deep models. In wearable contexts, models have to be very efficient if they are run on an embedded system to save battery life. These constr... Continue

Background Determining what food is consumed during a meal is a central research challenge of Automated Dietary Monitoring (ADM). During chewing, food breaks down and generates unique vibration signals which can be recorded with sensor-integrated wearables. Chewing vibration data usually contain ri... Continue

Background Smart eyeglasses integrate sensors can serve for multiple purposes including health monitoring. Generally, the sensors need to be integrated at specific parts of the eyeglasses to function effectively. Moreover, optimising sensor locations maximises sensor data quality. However, optimal ... Continue

Background The German digital health applications (“Digitale Gesundheitsanwendung”, DiGA) provides ground for the rapid time-to-market of health and medical apps. This seminar starts with an international overview on digital health app regulations and introduction to the German DiGA. Key topics inc... Continue

Background Poor nutritional behaviour is considered a major risk factor for the development of various chronic diseases. Smartphone apps offer the possibility to influence nutritional behaviour positively by monitoring and providing direct feedback. Since the use of smartphones is increasing also a... Continue

Course description Digital health is a branch of digital medicine that integrates and leverages multisource and multimodal data for medical knowledge extraction and decision support across a wide range of preventive, diagnostic, and therapeutic applications. The course starts by introducing the bas... Continue

Course description The course provides an overview on the design of wearable and implantable computing systems. The overview is structured in three parts: context recognition, electronic systems and sensors, and additive manufacturing methods. Pattern analysis and machine learning methods to proces... Continue