# Schedule of lectures of 17ABBBLS (semester B192)

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 | Public holiday. | doc. Ing. Vladimír Krajča, CSc. |

13 | 1 | May 11, 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. |

14 | 1 | May 18, 2021 | 14:00 | 2 | KL:B-720 | Metrics. Data normalization. Statistical data processing. | doc. Ing. Vladimír Krajča, CSc. |

Total | 28 |