# Schedule of lectures of F7AMBBLS (semester B212)

Week | Par | Date | Time | Hours | Room | Subject | Teacher |
---|---|---|---|---|---|---|---|

1 | 1 | Feb 15, 2022 | 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. | Ing. Václava Piorecká, Ph.D. |

2 | 1 | Feb 22, 2022 | 14:00 | 2 | KL:B-720 | ECG, method of measurement and basic signal characteristics. EOG, method of measurement and basic signal characteristics. | Ing. Václava Piorecká, Ph.D. |

3 | 1 | Mar 1, 2022 | 14:00 | 2 | KL:B-720 | EMG, method of measurement and basic signal characteristics. Multimodal monitoring. | Ing. Václava Piorecká, Ph.D. |

4 | 1 | Mar 8, 2022 | 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. |

5 | 1 | Mar 15, 2022 | 14:00 | 2 | KL:B-720 | Statistic and probabilistic signal properties. Probability distribution. Stochastic processes and time series analysis. EEG. | doc. Ing. Vladimír Krajča, CSc. |

6 | 1 | Mar 22, 2022 | 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 29, 2022 | 14:00 | 2 | KL:B-720 | Evoked potentials, VEP, AEP, SEP, BAEP, MEP. | doc. Ing. Vladimír Krajča, CSc. |

8 | 1 | Apr 5, 2022 | 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 12, 2022 | 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 19, 2022 | 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 26, 2022 | 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 3, 2022 | 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 10, 2022 | 14:00 | 2 | KL:B-720 | EEG signal processing | doc. Ing. Vladimír Krajča, CSc. |

14 | 1 | May 17, 2022 | 14:00 | 2 | KL:B-720 | Discussion,Consulting. | doc. Ing. Vladimír Krajča, CSc. |

Total | 28 |