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MS1MAE - Methods of Electrophysiological Signal Analysis

Course specification
Course title Methods of Electrophysiological Signal Analysis
Acronym MS1MAE
Study programme Electrical Engineering and Computing
Module Biomedical and Environmental Engineering
Type of study master 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 electrophysiological signal in research and in clinical conditions, as well as signal processing to diagnostic and automatic diagnosis.
    Contents
    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
    Literature
    1. SM Dunn, A Constantinides, PV Moghe, Numerical Methods in Biomedical Engineering, 2006, Elsevier (Original title)
    2. Cohen, Biomedical signal processing I i II, 2000, CRC Press (Original title)
    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 (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 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
    Projects 10
    Colloquia 30
    Seminars 0