The doctoral study provides the graduates of MSc study in the area of biomedical electronics and biocybernetics with a higher degree of education, deepening their theoretical background.
The study is aimed at deepening of theoretical knowledge of students in advanced mathematics, physics and in disciplins forming the theoretical basis of the chosen field. Also, necessary experience in experimental work and in processing of the obtained results should be provided, including exploitation of advanced methods of applied informatics.
The final goal is that the students will master methods of scientific research.

A graduate of the doctoral study is expected to be a distinct personality with a recognised research result, wide horizon of knowledge and ability to solve complex scientific and technical-research tasks in the field of biomedical electronics and biocybernetics and in neighbouring fields.
Maximum flexibility and professional adaptivity is the undisputed property of a graduate of doctoral study.
The graduates of the doctoral study in biomedical electronics and biocybernetics will be capable of working as scientists and researchers involved in basic or applied research namely in medical or biological area, as leading specialists in development and construction departments of research and development institutions, and in manufacturing enterprises or institutions exploiting advanced technology, namely in biomedical field.

Graduate of doctoral programme should be a strong personality with substantial scientific results, large horizon and ability to solve complex scientific and research technical tasks in area of biomedical electronics and biocybernetics. He/she will have maximum flexibility and professional adaptability in wide area of biomedical engineering. Graduates will be able to work as scientific and research staff in basic and applied research, as specialists in development, construction and production, in research institutes and at industrial companies and users of medical devices and applied information technologies in medicine and biology.

prof. Ing. Jiří Jan, CSc.

1. Advanced processing and analysis of ophthalmic data

   Project is focused on processing of images acquired by digital fundus camera, laser scanning ophthalmoscope and optical coherence tomograph. The main aims is to design methods for registration of long-term time sequences and for segmentation and visualization of specific objects and pathologies. These methods should increase the diagnosis potential of used images/modalities. This project is supported by travel grant with Erlangen University, Germany.

   Tutor: Kolář Radim, doc. Ing., Ph.D.

2. An Application of Frequency Based Methods for Biomedical Signals Time Domain Shifting Detection

   Many technical issues requires effective detection and subsequent estimation of both time shift or time delay between measured signals. Among many possible examples both radar speed measurement and sonar measurements can be included. A variety of measurement applications concerns the biomedical signals, e.g. the measurements of fiducial points shift for detection of R wave in the QRS complex for the purpose of further averaging. The main emphasis during dissertation goals achievement will be focused on the application of indirect methods using higher order spectra, such as bispectrum and trispectrum. Eventual results will be then transferred to statistical analysis for comparison purposes. The work will be supported by grant project GAČR P102/12/2034 "Analysis of Relationship between Electrical Activity and Blood Flow at the Heart Ventricles".

   Tutor: Tkacz Ewaryst, prof., Ph.D.,D.Sc.

3. Analysis of diagnostic information obtained from CT and PET examination via 3D fusion with respect to viability of treated tumors

   Analysis of diagnostic information obtained from CT and PET examination via 3D fusion with respect to viability of treated tumors with the potential of elimination of the invasive PET examination.

   Tutor: Jan Jiří, prof. Ing., CSc.

4. Analysis of diagnostic information obtained from CT and PET examination via 3D fusion with respect to viability of treated tumors

   Analysis of diagnostic information obtained from CT and PET examination via 3D fusion with respect to viability of treated tumors with the potential of elimination of the invasive PET examination.

   Tutor: Jan Jiří, prof. Ing., CSc.

5. Arrhythmia classification using ECG signals

   The work will be focused on the processing of Electrocardiograms by focusing on the design, implementation and validation of new methods for automatic analysis of heart rhythm disturbances and subsequent classification of abnormal heart rhythms. To test the implemented algorithms can take advantage of the data available from the MIT-BIH Arrhythmia Database, another option is the classification of heart rhythm by use of intracardial ECG signals. The work will be associated with the project GAČR P102/12/2034 „Analysis of the relationship between the electrical and blood flow in the heart ventricles“. We expect cooperation with the International Clinical Research Centre (ICRC) in Brno.

   Tutor: Kozumplík Jiří, doc. Ing., CSc.

6. Electrophysiology of isolated heart in experimental cardiology.

   The project deals with the electrogram measurement from isolated animal heart during experiment and electrgram analysis. Performed experiments will focus on the study of dynamic properties. The analysis is focus on the relationship between heart rate and length of QT interval.

   Tutor: Kolářová Jana, doc. Ing., Ph.D.

7. Processing of polygraphic biosignals

   The work will be focused on the processing of polysomnographic (PSG) signals that are taken in the Faculty hospital in St. Ann in Brno for the International Clinical Research Centre (ICRC) for the study of sleep apnea in patients with cardiological diseases. We suppose the development of new methods for automated analysis of the PSG signals for evaluation of the sleep stages and analysis of signals during the sleep apnea. We expect cooperation with the International Clinical Research Centre (ICRC) in Brno.

   Tutor: Kozumplík Jiří, doc. Ing., CSc.

8. Virtual reality in rehabiltation process

   The aim of the thesis is to study the electrical activity of muscles during physical activity, followed by a description of the functional relationship between the electromyogram (EMG) and the signals corresponded to motion of the patient. The results will be used to design therapeutic procedures using biofeedback. Clinical electromyography with registering of patient motion in 3D space during physical activity will be used. The study will focus mainly on patients affected by Alzheimer's disease and will be carried out in collaboration with the University Hospital at St. Anna. The results will be applied to the evaluation of rehabilitation procedures of persons with mobility disabilities. The topic is part of a project financially supported by the "International Centre for Clinical Research FNUSA-ICRC" No. CZ.1.05/1.1.00/02.0123.

   Tutor: Kolářová Jana, doc. Ing., Ph.D.