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1
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Feb 20, 2018
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14:00
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2
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KL:K-331
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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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Feb 27, 2018
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14:00
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2
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KL:K-331
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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
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Ing. Václava Piorecká, Ph.D.
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3
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Mar 6, 2018
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14:00
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2
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KL:K-331
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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
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Ing. Václava Piorecká, Ph.D.
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4
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Mar 13, 2018
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14:00
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2
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KL:K-331
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ECG, method of measurement and basic signal characteristics. EOG, method of measurement and basic signal characteristics.
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Ing. Václava Piorecká, Ph.D.
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5
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Mar 20, 2018
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14:00
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2
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KL:K-331
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EMG, method of measurement and basic signal characteristics. Multimodal monitoring.
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Ing. Václava Piorecká, Ph.D.
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6
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Mar 27, 2018
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14:00
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2
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KL:K-331
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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
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Ing. Hana Děcká
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7
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Apr 3, 2018
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14:00
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2
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KL:K-331
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Evoked potentials, VEP, AEP, SEP, BAEP, MEP.
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Ing. Václava Piorecká, Ph.D.
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8
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Apr 10, 2018
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14:00
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2
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KL:K-331
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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. Hana Děcká
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9
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Apr 17, 2018
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14:00
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2
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KL:K-331
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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. Hana Děcká
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10
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Apr 24, 2018
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14:00
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2
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KL:K-331
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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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May 1, 2018
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14:00
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0
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KL:K-331
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Public holiday - shift to May 3rd! (see below)
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Ing. Václava Piorecká, Ph.D.
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11
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May 3, 2018
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14:00
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2
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KL:K-331
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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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May 8, 2018
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14:00
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0
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KL:K-331
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Public holiday.
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Ing. Václava Piorecká, Ph.D.
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13
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May 15, 2018
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14:00
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2
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KL:K-331
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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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14
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May 22, 2018
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14:00
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2
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KL:K-331
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Metrics. Data normalization. Statistical data processing.
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Ing. Václava Piorecká, Ph.D.
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