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CDH

Category: Student Projects, WS2020/21

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...

Category: Courses, WS2020/21

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...

Category: Courses, WS2020/21

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...

Category: OnlineEvent, WS2020/21

Background Wearable technology often needs 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 speed up the customization and manufacturing of smart clothes. Aim The pr...

Category: OnlineEvent, WS2020/21

Background Digital Health integrates various information sources to extract medical insight and provide personalised health services as well as support for medical professionals. In this seminar, students, PhD researchers, and senior researchers of the Chair of Digital Health present their scientifi...

Category: OnlineEvent, WS2020/21

Background COVID-19 has forced the world into social distancing and self-isolation, and with the general goal of not saturating the healthcare system, establishing an adequate threshold for when to contact the doctor is difficult. Some people may be overreacting to any minor symptom, while other peo...

Category: OnlineEvent, WS2020/21

Background The field of knowledge discovery has focused on the extraction of rules created from the frequent association symbols. With the recent introduction of the Bayesian rule mining algorithms, the focus is shifting from measuring relevance based on rule frequency and moving towards the increas...