13M054MAS - Advanced Methods of Biosignal Analysis

Course specification
Course title Advanced Methods of Biosignal Analysis
Acronym 13M054MAS
Study programme Electrical Engineering and Computing
Type of study master academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
ESPB 6.0 Status elective
Condition none
The goal Applying modern computer methods of physiological signal processing and analysis for diagnostics and automatic diagnosis.
The outcome The ability to apply modern computational methods for the analysis electrophysiological signals in research and in clinical conditions; as well as signal processing for diagnostic and automatic diagnosis.
Contents of lectures Dynamic characteristics of electrophysiological (EF) signal. Application of Fourier's and Laplace's transform in the analysis of EF signal. Correlation, crosscorrelation, and autocorrelation. Digital filters and window functions. Application of Z - transformation. Adaptive Filters. Model and state estimation. Time series analysis. Application of selected methods for EF signal analysis.
Contents of exercises computer-based analysis of biological signals
  1. Dunn S. M., Constantinides A., Moghe P. V. "Numerical methods in biomedical engineering", Elsevier, 2006. (Original title)
  2. Cohen A., "Biomedical signal processing", Vol. I and II, CRC Press, 2000. (Original title)
  3. Rangayyan R. M. "Biomedical signal analysis", John Wiley & Sons, 2015. (Original title)
Number of hours per week during the semester/trimester/year
Lectures Exercises OTC Study and Research Other classes
3 1 1
Methods of teaching Lectures, supervised exercises, exercises, application of methods on real-life signals
Knowledge score (maximum points 100)
Pre obligations Points Final exam Points
Activites during lectures 0 Test paper 30
Practical lessons 50 Oral examination 0
Colloquia 20