Biomedical Electronics and Biocybernetics
Original title in Czech: Biomedicínská elektronika a biokybernetikaFEKTAbbreviation: PP-BEBAcad. year: 2017/2018
Programme: Electrical Engineering and Communication
Length of Study: 4 years
Accredited from: 25.7.2007Accredited until: 31.12.2020
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.
Key learning outcomes
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.
Occupational profiles of graduates with examples
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.
Issued topics of Doctoral Study Program
- Advanced algorithms for monitoring activity using mobile sensors
The theme of this dissertation is aimed on monitoring and evaluation of activities performed by individuals using sensors commonly available in mobile devices (accelerometer, GPS, microphone, heartbeat sensor) and it can be divided into two parts. The goal of the first part is to analyze possibilities of mobile devices, become familiar with the types of sensor data and assess their potential. The goal of the second part is to design advanced algorithms for processing of captured data to identify different types of performed activities (rest, walk, run). Applicants are expected to be familiar with Matlab programming and have an overview in the area of processing and analysis of 1D signals.
Tutor: Vítek Martin, Ing., Ph.D.
- Advanced methods for assessment of heart rate variability dynamic
The theme focuses on the development of advanced methods for analysing of dynamic component of heart rate variability. The aim is to interconnect methods for the analysis of time series with the state of the art and mostly nonlinear methods for analysis of heart rate variability, to verify properties of the proposed approach in experimental cardiology data, and to describe the discriminative capability of the proposed approach in comparative studies.
- Analysis of 3D CT mono-energetic and spectral data aimed at determining spatial distribution of bone mineral density in norm. and onkol. patients, including trend analysis of temporal development
Design and development of new methods of CT image data for automatic analysis of spatial distribution of bone mineral density and its temporal development aimed at different clinical applications, using advanced methods of tissue classification and possibly utilising results of previous research of the research group. Data will be provided and the results medically evaluated in cooperation with national and foreign medical institutions. The project is a part of a long-term cooperation with the Philips Nederland firm; the doctoral student may obtain a financial support when successful. The applicant is expected to master basic methodology of image processing and analysis, and have good background in structured programming of numerical methods in MATLAB utilizing also links to different public program libraries.
Tutor: Jan Jiří, prof. Ing., CSc.
- Detection and classification of metastatic lesions in spine and other bones using mono-energetic and spectral 3D CT image data, including trend analysis of temporal development
Design and development of new methods of CT data analysis for automatic detection and classification of lesions in spine and further bones, including formulating approaches for trend analysis of the temporal development in series of CT examinations. Data will be provided and the results medically evaluated in cooperation with national and foreign medical institutions. The project is a part of a long-term cooperation with the Philips Nederland firm; the doctoral student may obtain a financial support when successful. The applicant is expected to master basic methodology of image processing and analysis, and have good background in structured programming of numerical methods in MATLAB utilizing also links to different public program libraries.
Tutor: Jan Jiří, prof. Ing., CSc.
Course structure diagram with ECTS credits
|DET1||Electrotechnical materials, material systems and production processes||cs||4||winter||Optional specialized||DrEx||yes|
|DEE1||Mathematical Modelling of Electrical Power Systems||cs||4||winter||Optional specialized||DrEx||yes|
|DME1||Microelectronic Systems||cs||4||winter||Optional specialized||DrEx||yes|
|DTK1||Modern network technologies||cs||4||winter||Optional specialized||DrEx||yes|
|DRE1||Modern electronic circuit design||cs||4||winter||Optional specialized||DrEx||yes|
|DFY1||Junctions and nanostructures||cs||4||winter||Optional specialized||DrEx||yes|
|DTE1||Special Measurement Methods||cs||4||winter||Optional specialized||DrEx||yes|
|DMA1||Statistics, Stochastic Processes, Operations Research||cs||4||winter||Optional specialized||DrEx||yes|
|DAM1||Selected chaps from automatic control||cs||4||winter||Optional specialized||DrEx||yes|
|DVE1||Selected problems from power electronics and electrical drives||cs||4||winter||Optional specialized||DrEx||yes|
|DBM1||Advanced methods of processing and analysis of images||cs||4||winter||Optional specialized||DrEx||yes|
|DJA6||English for post-graduates||cs||4||winter||General knowledge||DrEx||yes|
|DRIZ||Solving of innovative tasks||cs||2||winter||General knowledge||DrEx||yes|
|DEIZ||Scientific publishing A to Z||cs||2||winter||General knowledge||DrEx||yes|
|DTK2||Applied cryptography||cs||4||summer||Optional specialized||DrEx||yes|
|DMA2||Discrete Processes in Electrical Engineering||cs||4||summer||Optional specialized||DrEx||yes|
|DME2||Microelectronic technologies||cs||4||summer||Optional specialized||DrEx||yes|
|DRE2||Modern digital wireless communication||cs||4||summer||Optional specialized||DrEx||yes|
|DTE2||Numerical Computations with Partial Differential Equations||cs||4||summer||Optional specialized||DrEx||yes|
|DFY2||Spectroscopic methods for non-destructive diagnostics||cs||4||summer||Optional specialized||DrEx||yes|
|DET2||Selected diagnostic methods, reliability and quality||cs||4||summer||Optional specialized||DrEx||yes|
|DAM2||Selected chaps from measuring techniques||cs||4||summer||Optional specialized||DrEx||yes|
|DBM2||Selected problems of biomedical engineering||cs||4||summer||Optional specialized||DrEx||yes|
|DEE2||Selected problems of electricity production||cs||4||summer||Optional specialized||DrEx||yes|
|DVE2||Topical Issues of Electrical Machines and Apparatus||cs||4||summer||Optional specialized||DrEx||yes|
|DJA6||English for post-graduates||cs||4||summer||General knowledge||DrEx||yes|
|DCVP||Quotations in a research work||cs||2||summer||General knowledge||DrEx||yes|
|DRIZ||Solving of innovative tasks||cs||2||summer||General knowledge||DrEx||yes|
|DQJA||English for the state doctoral exam||cs||4||both||Compulsory||DrEx||yes|