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1
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1
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Feb 18, 2025
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14:00
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2
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KL:B-720
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Introduction to digital biosignal processing. Motivation. Basic characteristics of EEG, EKG, EOG, EMG. Basic graphoelements in EEG, polysomnography, hypnogram. Polysomnography. Artefacts.
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Ing. Václava Piorecká, Ph.D.
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2
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1
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Feb 25, 2025
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14:00
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2
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KL:B-720
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EOG, method of measurement and basic signal characteristics.
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Ing. Václava Piorecká, Ph.D.
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3
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1
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Mar 4, 2025
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14:00
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2
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KL:B-720
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ECG, method of measurement and basic signal characteristics
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Ing. Václava Piorecká, Ph.D.
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4
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1
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Mar 11, 2025
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14:00
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2
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KL:B-720
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EEG, 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
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Ing. Václava Piorecká, Ph.D.
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5
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1
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Mar 18, 2025
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14:00
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2
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KL:B-720
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PSG, Sleep
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Ing. Václava Piorecká, Ph.D.
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6
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1
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Mar 25, 2025
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14:00
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2
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KL:B-720
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Evoked potentials, VEP, AEP, SEP, BAEP, MEP
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Ing. Václava Piorecká, Ph.D.
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7
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1
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Apr 1, 2025
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14:00
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2
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KL:B-720
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Fourier transformation. Discrete FT. Fast FT (FFT). Special algorithms of computing. Inverse transform. Signal analysis and synthesis. Spectrum estimation. Filtering using FFT. Digit
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Ing. Václava Piorecká, Ph.D.
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8
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1
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Apr 8, 2025
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14:00
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2
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KL:B-720
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Spectrum analysis. Power spectral density. Periodogram. Parametric and non-parametric methods of spectral analysis. Practical problems of spectrum estimation. CSA. IIR, FIR.
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Ing. Václava Piorecká, Ph.D.
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9
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1
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Apr 15, 2025
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14:00
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2
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KL:B-720
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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
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Ing. Václava Piorecká, Ph.D.
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10
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1
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Apr 22, 2025
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14:00
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2
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KL:B-720
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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.
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Ing. Václava Piorecká, Ph.D.
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11
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1
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Apr 29, 2025
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14:00
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2
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KL:B-720
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Density-based classification methods. Instance-based learning methods. K-NN classification. Fuzzy k-NN. Practical examples of classification methods for biological signals.
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Ing. Václava Piorecká, Ph.D.
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12
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1
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May 6, 2025
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14:00
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2
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KL:B-720
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Topographic mapping of electrophysiological activity. Visualization. Principle of brain mapping. Amplitude and frequency brain mapping. Interpolation. Direct and inverse task. Use in clinical diagnostics..
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Ing. Václava Piorecká, Ph.D.
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13
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1
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May 13, 2025
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14:00
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0
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KL:B-720
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rector's day fMRI, Statistic and probabilistic signal properties. Probability distribution. Stochastic processes and time series analysis EEG.
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Ing. Václava Piorecká, Ph.D.
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14
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1
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May 20, 2025
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14:00
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2
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KL:B-720
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Discussion,Consulting.
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Ing. Václava Piorecká, Ph.D.
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