HiGHmed - Teaching TU Braunschweig
The project is funded by the Federal Ministry of Education and Research within the German medical informatics initiative.
The module "Health-Enabling Technologies and Data" is developed by PLRI and will be offered at the TU Braunschweig from the winter semester 2019/20. It is focused on data that are recorded by Health-Enabling Technologies (HET). Such recordings can be obtained from multiple environments such as smart homes, vehicles, wearables or even within the human body (smart implants). HET-generated signals and measurements yield data with a low signal-to-noise ratio, shifting offsets, and data gaps, causing special difficulties in processing and analytics. Particular challenges are (i) reliable data collection, (ii) secure transfer, and (iii) semantic integration of this data with electronic health records, especially when non-medical sensors are used for health-relevant prediction and alarming. Furthermore, the automatic understanding of measurements requires robust algorithms. In this module, students will learn to understand and solve these challenges by appropriate methods for processing and analytics of (bio-)signals. The methods will also trained practically using open source software. In addition, the basics of semantic interoperability, the determination of a reliable ground truth for the evaluation of algorithms, and the model-based methodology for real-time monitoring, event prediction as well as accident and emergency detection will be covered in this module.
2018 - 2021