Biological signals

The course is not on the list Without time-table
Code Completion Credits Range Language
BEAM31BSG Z,ZK 6 2P+2L English
In order to register for the course BEAM31BSG, the student must have registered for the required number of courses in the group BEZBM no later than in the same semester.
Garant předmětu:
Department of Circuit Theory

The course is focused to the native and evoked biosignals used in clinical medicine and current methods of capturing, processing, recording and evaluating in the time and frequency domains. For important biological signals, the students are introduced with their genesis, and nature and physiological characteristics of the signals required for construction of instruments. Students are introduced also with the physical and mathematical models. In laboratory exercises, students have the opportunity to capture their own biological signals and their subsequent processing in MATLAB.


Submission of a semester work on the topic of biological signal processing in Matlab

Syllabus of lectures:

1. Introduction, biosignals, parameters

2. Voice and speech, F0, formants, characteristics of voice, speech disorders, phonetogram

3. Biological signal genesis, membrane potentials, neuron models

4. Signal of nerves and muscles, ENG, EMG signal processing, fatigue analysis

5. ECG systems ang signals, vector depolarization, the electrical cardiac axis

6. Description of ECG, basic images of ECG, VCG, filtering

7. Polycardiography - phonocardiography, pletysmogram. Wave detection, HRV.

8. Signals of the brain, EEG, rhythms, normal EEG, analysis artifacts

9. Abnormal EEG, graphoelements of paroxysmal activity, evoked potentials

10. Electrooculogram and electroretinogram

11. Polysomnography, classification of sleep stages

12. Auditory system, cochlear implant and the coding strategy

13. Pulmonary function, electrical activity of the stomach, elecrogastrogram

Syllabus of tutorials:

1. Measurement and evaluation of response time

2. Voice and speech

3. Measuring the speed of nerve conduction ulnar nerve

4. Electromyogram

5. Consultation to the semester term

6. Electrocardiogram and vectorkardiogram

7. Filtering of ECG signals and noise suppression

8. Polycardiography

9. Electroencephalogram

10. Evoked potentials, detection of epileptiform spikes

11. Electrooculogram

12. Measurement of lung volumes and capacities

13. Electrogastrogram

Study Objective:

The aim of the study is to gain theoretical and practical knowledge about biological signals; their genesis, acquisition, analysis and processing.

Study materials:


Rangaraj M. Rangayyan: Biomedical Signal Analysis: A Case-Study Approach, Wiley-IEEE Press, 2015

Katarzyn J. Blinowska, Jaroslaw Zygierewicz: Practical Biomedical Signal Analysis Using MATLAB, CRC Press 2011

Further information:
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2024-06-16
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