Research topics related to the content of the study of Medical Electronics and Bioinformatics.

Research groups

Biomedical and ecological applications of EM fields

The research team focuses on basic and applied research into the use of EM fields in the biomedical field and also on the research and development of applications of EM fields for new ecological industrial technology. Therapeutic and diagnostic applications of EM fields have been used in medicine since 1981.

Biomedical Electronics Group

The Biomedical Electronics research group deals with the design and implementation of hardware for biomedical applications and biological signal processing.

Biomedical Imaging Algorithms (BIA)

Research topic

Image processing

The Biomedical Imaging Algorithms (BIA) group develops new algorithms for image processing in medical and biological applications. It processes images from a variety of modalities, including MRI, ultrasound, computed tomography, and microscopy, in 2D, 3D, and 4D. It can preprocess, register and segment, model, reconstruct and classify data. It uses signal processing, numerical mathematics and machine learning techniques, including modern deep learning methods, popularly known as AI.

Human-Computer Interaction (HCI) Group

Human-computer interaction is the interdisciplinary field which deals with the factors that affect the quality and efficiency of user interaction with computational systems. The research group deals with the issues of understandably presenting information to the user and conveniently inputting data for a variety of "non-traditional" user groups: People in a mobile environment, the elderly, the visually impaired or those with problems with fine motor skills in their fingers.

SAMI - Analysis, modeling and interpretation of signals

The group SAMI is engaged in basic and applied research in biomedical engineering. The main areas of interest are speech, biological signals, digital signal processing and machine learning with a focus on neurology, phoniatrics, speech therapy and physiology. The group supports quantitative multidisciplinarity. Research projects are conducted in cooperation with teaching hospitals, and the findings are used in  diagnosis and the evaluation of treatment.

Responsible person Ing. Mgr. Radovan Suk