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 ...
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 consi...
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 constra...
Background Novel wireless in-ear headphones can do more than playing music. They come with various types of sensors, e.g. microphones, inertial measurement unit (IMU) or accelerometer. This makes such earables interesting in health contexts. The goal of this seminar is to investigate the usefulness ...
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 ric...
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 incl...
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 am...
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 basi...
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 process...
Background Nowadays the new digital modelling techniques can speed up the personalisation of wearables as well as the rapid prototyping. However, the personalisation might require very precise human body measurements which can be tedious if done manually. The project aims at implementing a convenien...
