13E054MAS - Methods of Electrophysiological Signal Analysis
Course specification | ||||
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Course title | Methods of Electrophysiological Signal Analysis | |||
Acronym | 13E054MAS | |||
Study programme | Electrical Engineering and Computing | |||
Module | ||||
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 | |||
Contents | ||||
URL to the subject page | https://automatika.etf.bg.edu.rs/sr/13e054mas | |||
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 | ||||
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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 | ||||
Colloquia | 30 | |||
Seminars | 10 |