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.

BOD> 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. Analysis of dynamic properties of heart ventricules repolarization and depolarization

   The project deals with study of dynamic properties of heart ventricles from shape of electrocardiograms, especially from depolarization and repolarization parts. After study of relevant literature sources, analyze dynamic properties of QT intervals from electrocardiograms or action potentials. The final results will be used for sudden death prediction, ventricular arrhythmia, patient classification or evaluation of pharmaceuticals effects. The study will be undertaken in collaboration with the medical faculty.

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

2. Analysis of Physiological Phenomenons Caused by Excitation of Cardiovascular System via Breathing Disturbances in Sleep

   The aim of the work is analysis of circulation mechanism properties, autonomous nervous system and disturbances of heart rhythm during sleep apnea and various sleep stages, The analysis will be based on measurement dano at 1st Internal-Cardioangiological Clinics of Faculty Hospital at St. Ann, Institute of Scientific Instruments of the ASCR and Mayo Clinic Rochester, MN, USA. The measured signals include EEG, EOG, ECG, EMG, pulse oxymetry, recordings of breathing and patient position according to AASM (American Academy of Sleep Medicine) recommendation.

   Tutor: Provazník Valentine, prof. Ing., Ph.D.

3. Methods for Computation of Cardiac Output from Whole/body Bioimpedance

   The theme covers development of digital signal processing methods to compute cardiac output from multichannel whole-body bioimpedance data. Bioimpedance signals, ECG, sound and blood pressure will be used. The aim is to design new algorithms for correction of computation of cardiac output with the use of dat from whole-body multichannel impedance monitor. The work will be oriented to suppression of influence of breathing and other unwanted noise in impedance signal from chest impedance kardiography and optimization of measurement protocol and selection of channels. Development of methods will be done in Matlab environment.

   Tutor: Provazník Valentine, prof. Ing., Ph.D.