Subject description - BEAM31BSG

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BEAM31BSG Biological signals
Roles:P, PV Extent of teaching:2P+2L
Department:13131 Language of teaching:EN
Guarantors:Čmejla R. Completion:Z,ZK
Lecturers:Čmejla R., Ježdík P., Novotný M. Credits:6
Tutors:Čmejla R., Ježdík P., Novotný M. Semester:L


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.

Study targets:

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

Course outlines:

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

Exercises outline:

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

Literature: 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


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


Biological signals

Subject is included into these academic programs:

Program Branch Role Recommended semester
MEEK2_2018 Audiovisual Technology and Signal Processing PV 2
MEBIO2_2018 Medical Instrumentation P 2
MEBIO1_2018 Bioinformatics P 2
MEBIO4_2018 Signal Processing P 2
MEBIO3_2018 Image Processing P 2

Page updated 19.5.2024 07:51:08, semester: Z,L/2023-4, Z/2024-5, Send comments about the content to the Administrators of the Academic Programs Proposal and Realization: I. Halaška (K336), J. Novák (K336)