Lab "Advanced Topics"

Basic Information

Lecturers:   Gerhard Schmidt and group
Room:   -
Language:   English
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.

Recent Publications

P. Durdaut, J. Reermann, S. Zabel, Ch. Kirchhof, E. Quandt, F. Faupel, G. Schmidt, R. Knöchel, and M. Höft: Modeling and Analysis of Noise Sources for Thin-Film Magnetoelectric Sensors Based on the Delta-E Effect, IEEE Transactions on Instrumentation and Measurement, published online, 2017

P. Durdaut, S. Salzer, J. Reermann, V. Röbisch, J. McCord, D. Meyners, E. Quandt, G. Schmidt, R. Knöchel, and M. Höft: Improved Magnetic Frequency Conversion Approach for Magnetoelectric Sensors, IEEE Sensors Letters, published online, 2017


Website News

18.06.2017: Page about KiRAT news added (also visible in KiRAT).

31.05.2017: Some pictures added.

23.04.2017: Time line for the lecture "Adaptive Filters" added.

13.04.2017: List of PhD theses added.


Prof. Dr.-Ing. Gerhard Schmidt


Christian-Albrechts-Universität zu Kiel
Faculty of Engineering
Institute for Electrical Engineering and Information Engineering
Digital Signal Processing and System Theory

Kaiserstr. 2
24143 Kiel, Germany

Recent News

Alexej Namenas - A New Guy in the Team

In June Alexej Namenas started in the DSS Team. He will work on real-time tracking algorithms for SONAR applications. Alexej has done both theses (Bachelor and Master) with us. The Bachelor thesis in audio processing (beamforming) and the Master thesis in the medical field (real-time electro- and magnetocardiography). In addition, he has intership erperience in SONAR processing.

We are pretty ...

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