|Lecturers:||Gerhard Schmidt and group|
|Target group:||Students in electrical engineering and computer engineering|
|Prerequisites:||For the projects carried out by our group, fundamental knowledge of systems theory and digital signal processing.|
|Registration procedure:||This lab is organized by the ICT group. Please check their website for further registration information.|
|Time:||This lab is organized by the ICT group. Please check their website for further time information.|
The topics offered by our group are:
Topic 1 (M. Sc. Nawar Habboush)
Magnetocardiography (MCG) and electrocardiography (ECG) are useful techniques for diagnosing the different heart diseases and localizing their sources. They measure the magnetic and electric fields on the surface of the human body, which are generated by the electrical activity in the heart. Those techniques use multiple sensors spatially distributed on the surface of the human body.
MCG and ECG data is available: the first step is to visualize the MCG recordings distributed on a 2-dimetional surface, in the second step, ECG recordings distributed in a 3-dimentional space need to be interpolated. The spatial interpolation needs to be implemented using different methods and compare them. The project should be coded using MATLAB.
Topic 2 (M.Sc. Minh, H. Pham)
Inertial Measurement Units (IMUs) play a central role in movement science, assessing moving of human body parts with lightweight wearable sensors. Integrated miniature accelerometers and gyroscopes can provide accurate quantitative parameters of specific types of motion. So IMUs are applied widely in clinical applications, as a way to distinguish between healthy people and motor-deficit patients, as well as an indicator of different disease states.
This topic will provide basic principles of IMUs, to evaluate turning movement, with hip sensors, in clinical study. Possible outcome parameters are turning detection, turning magnitude and duration, thereby also turn variability and angular velocity. Methods covered in this topic are (partly) sensor fusion with rotation matrix (quaternion) and lowpass filtered gyroscope zero crossing rates. Results shoudl be represented both quantitatively and qualitatively (videos observation or 3D animation). Algorithms are developed using Matlab.