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Biological Signals Processing

Summary

Characteristics of biological signals, coding data structures, digital signal processing - time domain and frequency domain - spectral analysis (Fourier analysis random (biological) signal and parametric spectrum analysis of random (biological) signal. Adaptive segmentation, automatic classifying biological
signal - learning operations, cluster analysis. Neural networks.Applications of signal processing EKG, EEG.

Literature

De Luca, G.: Fundamental Concepts in EMG Signal Acquisition; DelSys Inc, 2001
Kay, S.M., Marple, S.L.: Spectrum Analysis – A Modern Perspective, Proc. IEEE, vol. 69, 1981, pp. 1380-1419
Proakis, J.G., Manolakis, D.G.: Introduction to Digital Signal Processing. Macmillan Publishing Company , New York, 1988 (ISBN 0-02-396815-X)

Advised literature

Cohen A., Biomedical signal processing, CRC Press, Boca Raton, Florida
Remond, A.: (Editor-in-chief): Handbook of electroencephalograph and clinical neuro-physiology, vol. 5. Elsevier, 1972
Dumermuth G., Fundamentals of spectral analysis in electroencephalography, In: A. Rémond (Ed.), EEG Informatics : A Didactic Review of Methods and Applications of EEG data Processing. Elsevier, Amsterdam,1977, pp. 83-105


Language of instruction čeština, angličtina
Code 450-4032
Abbreviation ZBS
Course title Biological Signals Processing
Coordinating department Department of Cybernetics and Biomedical Engineering
Course coordinator Ing. Jan Kubíček, Ph.D.