Course detail

Biological Signal Analysis

CESA-SABSAcad. year: 2023/2024

The course is focused on native and evoked biological signals (biosignals). It focuses on the characteristics of biosignals generated by the various systems of the human body (especially cardiovascular, nerve and muscle). The course is focused on methods for processing and analysis of biosignals in the time and frequency domain.

Language of instruction


Number of ECTS credits


Mode of study

Not applicable.

Entry knowledge

Students should have knowledge of digital signal processing, be familiar with the ways of describing the linear filters (transfer function, impulse response, difference equations, frequency response). Assuming knowledge of the discrete Fourier transform (DFT) and the ability to interpret the result DFT. The laboratory work is expected knowledge of Matlab programming environment.

Rules for evaluation and completion of the course

- 30 points can be obtained for activity in the laboratory exercises, consisting in solving tasks (for the procedure for the examination must be obtained at least 15 points)
- 70 points can be obtained for the written exam (the written examination is necessary to obtain at least 35 points)

Laboratory is compulsory, missed labs must be properly excused and can be replaced after agreement with the teacher.


The aim of the course is to familiarize students with the principles of the genesis of various types of biological signals, with their basic properties and methods of digital processing and automated analysis.
The student is able to:
- formulate requirements for filters for noise suppression in ECG signals, EEG, EMG
- design and implement adaptive filters for suppressing power hum in biosignals
- design and implement special filters Lynn type for narrowband interference suppression
- explain the principle of detection of QRS complexes in ECG signals and graphoelements in EEG signals
- describe the principle of detecting the beginning and end of major waves in the ECG signals
- explain the principles of stationarity tests of stochastic signals
- describe the principle of non-parametric and parametric methods for estimating power spectra
- describe the principle of cross-spectra and coherence spectra estimation and their use for analysis of EEG signals
- describe the principle of Poincare maps and their use for signal analysis (HRV, TWA)
- explain the principle of realization mapping for analysis of EEG signals
- explain the principle of continuous estimate the level of surface EMG signal

Study aids

Study materials are available on e-learning.  

Prerequisites and corequisites

Not applicable.

Basic literature

KOZUMPLÍK, J.: Analýza biologických signálů. Elektronická skripta FEKT VUT v Brně, Brno, 2013 (CS)
SVATOŠ, J.: Biologické signály I. Geneze, zpracování a analýza. Skripta FEL ČVUT, Vydavatelství ČVUT, Praha, 1992 (CS)

Recommended reading

Not applicable.


Classification of course in study plans

  • Programme BPC-STC Bachelor's, 2. year of study, summer semester, compulsory

Type of course unit



26 hours, optionally

Teacher / Lecturer