If you want to sign up for this seminar, you need to register with the following information in the registration form

• surname, first name,
• e-mail address,
• matriculation number,

Please note that the registration period starts 17.10.2022 at 10:00 h and ends 30.10.2022 at 23:59 h. All applications before and after this registration period will not be taken into account.

Registration will be possible within the before mentioned time under the following subsite - Seminar Registration.

During the registration process you will also choose your seminar topic. Only one student per topic is permitted (first come - first serve).

The registration is binding. A deregistration is only possible by sending an e-mail with your name and matriculation number to This email address is being protected from spambots. You need JavaScript enabled to view it. until Sunday, 30.10.2022 at 23:59 h. All later cancellations of registration will be considered as having failed the seminar.

Students write a scientific report on a topic closely related to the current research of the DSS group. Potential topics, therefore, deal with digital signal processing related to medical signal processing.

Students will also present their findings in front of the other participants and the DSS group.

In principle, an electrode-based bioelectrical signal acquisition can be complemented by biomagnetic sensing and therefore requires a more detailed assessment, especially because of the availability of novel non-cryogenic sensor technologies. The current development of room temperate magnetic sensors ensures that they become more and more a prospective candidate for biomagnetometry. A wide variety of sensor concepts exist, and they are quite promising in many respects, especially combined with digital readout schemes. In this literature study, an overall current overview of magnetic field sensors operating at room temperate should be examined. Therefore advantages, disadvantages, and current limitations of the individual sensor concepts including their applied digital readout methods should be shortly discussed.

Electrocardiographic imaging (ECGi) is a non-invasive measurement that provides a 3D visualization of the geometry of the human heart as well as activation maps. For this purpose, numerous electrodes are placed on the body surface. In combination with CT or MRI scans, the body surface potential is used to solve an inverse problem for the intracardiac potential. Since small errors in the measured body surface potential can lead to large errors in the intracardiac potential, various mechanisms are used to regularize the inverse problem. You will review multiple ECGi algorithms and compare their accuracy, validation schemes, measurement setups, and technology readiness levels.

Tremor can occur as a symptom of various diseases and can be studied to differentiate between them. Accelerometers and EMG sensors can be used to analyze tremor of different body parts such as hands, arms or the head. In this seminar, an overview of the possible use of a convolutional neural network in the field of tremor analysis will be given. For this purpose, comparable applications in the literature should be found and investigated. Finally, reasonable approaches for the use in the field of tremor analysis should be transferred.

Step length/width are important markers to assess gait instability which is itself a major fall risk factor. In this seminar, you will shortly describe these metrics in the kinematic/biomedical context and will then focus on the measuring methods (and sensors). You will create a list of different approaches from pilot studies to gold standard and discuss the methods’ respective strengths and weaknesses.