13E054MAS - Methods of Electrophysiological Signal Analysis

Course specification
Course title Methods of Electrophysiological Signal Analysis
Acronym 13E054MAS
Study programme Electrical Engineering and Computing
Type of study bachelor academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
ESPB 6.0 Status elective
Condition Passed exams in biomedical engineering
The goal Applying modern computer methods of signal processing and analysis in physiological signals for diagnostics and automatic diagnosis.
The outcome The ability to apply modern computational methods: the analysis elektrofizioloških signal in research and in clinical conditions, as well as signal processing to diagnostic and automatic diagnosis
URL to the subject page
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. The analysis of time series. Application of PCA analysis and " wavelet " techniques.
Contents of exercises Analysis of biological signals in MatLab
  1. SM Dunn, A Constantinides, PV Moghe, Numerical Methods in Biomedical Engineering, 2006, Elsevier
  2. Cohen, Biomedical signal processing I i II, 2000, CRC Press
  3. Ljubisavljevic M, Popovic M. Data acquisition, processing and storage. In: Windhorst U, Johansson H (eds.) Modern techniques in neuroscience, 1999, Springer-Verlag, Chapter 45, pp. 1277-1309
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 exercise, exercise, application of methods on real signals
Knowledge score (maximum points 100)
Pre obligations Points Final exam Points
Activites during lectures 0 Test paper 30
Practical lessons 30 Oral examination 0
Colloquia 30
Seminars 10