Type of studies | Title |
---|---|
Master Academic Studies | Computing and Control Engineering (Year: 1, Semester: Winter) |
Category | Scientific-professional |
Scientific or art field |
|
ECTS | 6 |
Students should gain knowledge about analysis and processing of electrophysiological signals.
The acquired knowledge is used in future work and education.
Classification of signals. Biomedical signal acquisition and processing. The origin of the biomedical signals. Time domain analysis and processing. Random processes, elements of probability theory, correlation, crosscorrelation, autocorrelation. Frequency domain analysis and processing, time - frequency analysis. Fourier transform, discrete Fourier transform, FFT, short time Fourier transform, wavelet transform. Spectral analysis. Compression and automatic recognition. ECG signal processing (filtering, QRS complex detection, high resolution ECG, heart rate variability signal analysis...). ECG waveform generator and simulator. EEG signal analysis, separation of EEG frequency components, differential brain activity of the left and right hemispheres, nap and awake state recognition, methods for evoked potential analysis.
Lectures, computer practice, project assignments. Consultations. The colloquia are taken in written form and the exam is both written and oral, with the written part being prerequisite for the oral. The final grade is formed on the bases of achievements at the colloquia, the quality of homework assignments and the written and oral part of the exam.
Authors | Title | Year | Publisher | Language |
---|---|---|---|---|
1986 | English | |||
1986 | English | |||
2002 | English |
Course activity | Pre-examination | Obligations | Number of points |
---|---|---|---|
Practical part of the exam - tasks | No | Yes | 40.00 |
Coloquium exam | No | No | 20.00 |
Computer excersise defence | Yes | Yes | 30.00 |
Coloquium exam | No | No | 20.00 |
Theoretical part of the exam | No | Yes | 30.00 |
Full Professor
Assistant - Master
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© 2024. Faculty of Technical Sciences.