Schedule of lectures of 17ABBBLS (semester B202)

Week Par Date Time Hours Room Subject Teacher
1 1 Feb 16, 2021 14:00 2 KL:B-720 Introduction to digital biosignal processing. Motivation. Basic characteristics of EEG, EKG, EOG, EMG. Basic graphoelements in EEG, polysomnography, hypnogram. Polysomnography. Artefacts. doc. Ing. Vladimír Krajča, CSc.
2 1 Feb 23, 2021 14:00 2 KL:B-720 Statistic and probabilistic signal properties. Probability distribution. Stochastic processes and time series analysis. Convolution, impulse characteristics. Mean, standard deviation, correlation analysis. Cross-correlation function. The nonstationary beh doc. Ing. Vladimír Krajča, CSc.
3 1 Mar 2, 2021 14:00 2 KL:B-720 Biological signals recording and preprocessing. Digital EEG devices. Basic sequence of signal transfer into computer. A/D converter, differential amplifiers. Analog and digital filters. Problems of sampling and quantization, Nyquist theorem and sampling fr doc. Ing. Vladimír Krajča, CSc.
4 1 Mar 9, 2021 14:00 2 KL:B-720 ECG, method of measurement and basic signal characteristics. EOG, method of measurement and basic signal characteristics. doc. Ing. Vladimír Krajča, CSc.
5 1 Mar 16, 2021 14:00 2 KL:B-720 EMG, method of measurement and basic signal characteristics. Multimodal monitoring. doc. Ing. Vladimír Krajča, CSc.
6 1 Mar 23, 2021 14:00 2 KL:B-720 Fourier transformation. Discrete FT. Fast FT (FFT). Principles of computing. Decimation in time and frequency. FFT butterfly. Special algorithms of computing. Inverse transform. Signal analysis and synthesis. Spectrum estimation. Filtering using FFT. Digit doc. Ing. Vladimír Krajča, CSc.
7 1 Mar 30, 2021 14:00 2 KL:B-720 Evoked potentials, VEP, AEP, SEP, BAEP, MEP. doc. Ing. Vladimír Krajča, CSc.
8 1 Apr 6, 2021 14:00 2 KL:B-720 Spectrum analysis. Power spectral density. Periodogram. Parametric and non-parametric methods of spectral analysis. Practical problems of spectrum estimation. CSA. IIR, FIR. doc. Ing. Vladimír Krajča, CSc.
9 1 Apr 13, 2021 14:00 2 KL:B-720 Multichannel adaptive segmentation. Motivation. Non-stationarity of biosignals. Basic methods. Multi-channel on-line adaptive segmentation. Extraction of symptoms. The parameter settings. Advantages and limitations of methods. Other segmentation algorithms doc. Ing. Vladimír Krajča, CSc.
10 1 Apr 20, 2021 14:00 2 KL:B-720 Methods of automatic classification. Basic algorithms of cluster analysis. K-means algorithm. Optimal number of classes. Limits and constraints of cluster analysis. Fuzzy cluster analysis. doc. Ing. Vladimír Krajča, CSc.
11 1 Apr 27, 2021 14:00 2 KL:B-720 Density-based classification methods. Instance-based learning methods. K-NN classification. Fuzzy k-NN. Practical examples of classification methods for biological signals. doc. Ing. Vladimír Krajča, CSc.
12 1 May 4, 2021 14:00 2 KL:B-720 Topographic mapping of electrophysiological activity. Visualization. Principle of brain mapping. Amplitude and frequency brain mapping. Interpolation. Direct and inverse task. Use in clinical diagnostics.. doc. Ing. Vladimír Krajča, CSc.
13 1 May 11, 2021 14:00 2 KL:B-720 EEG signal processing doc. Ing. Vladimír Krajča, CSc.
14 1 May 18, 2021 14:00 2 KL:B-720 Discussion,Consulting. doc. Ing. Vladimír Krajča, CSc.
Total 28