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Genesis of Biological Signals

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Code Completion Credits Range Language
17DBGVBS ZK 5 2P Czech
Garant předmětu:
Karel Roubík
Karel Roubík
Department of Biomedical Technology

The subject deals with origins and description of the most important electric

and non-electric biological signals. The principles of generation, recording and

basic properties are studied in all the signals. The studied signals involve

native and evoked biosignals, including biological signals of the heart, brain,

muscles, nervous system, auditory signals, visual system, signals from the

gastro-intestinal system etc.


The subject can be completed by final exam which may be written, oral or combined.

Syllabus of lectures:

1.Biopotentials, stimulated and evoked, types, properties, recording, noise

2.Electroneurography, SNAP, M-wave, H-reflex, F-reflex

3.Muscle origin signals, EMG, MMG, tendon jerks

4.Cardiac depolarization vector, electrodes, elctrode systems

5.ECG signal generation, depolarization of the heart muscle

6.Vectorcardiography, isopotential maps

7.Phonocardiography, sphygmography, apexcardiography, MCG, polymethods

8.EEG signals origin, electrode systems

9.EEG signal properties, EEG rhythms, evoked EEG, MEG

10.Polysomnography. Signals in opthalmology, origins, electroretinogram, other signals

11.Auditory signals, origin, audiometry types, evoked signals, ERA, BERA

12.Nystagmography, biosignals in obstetrics, rheography methods

13.Biological signals of other systems: gastro-intestinal system, fetal ECG, cardiotocography

14.Experimental biosignal sensing, recording of biosignals using imaging systems, unconventional biosignals

Syllabus of tutorials:
Study Objective:

The aim of the subject is to give the students the complex information about biological signals of electric and non-electric origin: characteristics, genesis, processing and evaluation.

Study materials:

[1] Bruce, E.N. Biomedical Signal Processing and Signal Modelling.New York, J.Willey & sons 2001.

[2] Baura G.D. System Theory and Practical Applications of Biomedical Signals.Piscataway, IEEE Press 2002.

[3] Svatoš, J. Biologické signály I. Geneze, zpracování, analýza. Praha, Vydavatelství ČVUT, Praha, 1992.

[4] Akay, M.: Nonlinear Biomedical Signal Processing, Fuzzy Logic, Neural Networks,

and New Algorithms (IEEE Press Series on Biomedical Engineering). Wiley-IEEE

Press, 2000

Time-table for winter semester 2022/2023:
Time-table is not available yet
Time-table for summer semester 2022/2023:
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The course is a part of the following study plans:
Data valid to 2023-05-30
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