Course detail
Advanced Analysis of Biological Signals
FEKT-MPA-ACSAcad. year: 2025/2026
The course focuses on advanced methods of biosignal processing, particularly wavelet transformation, empirical mode decomposition, and related analytical techniques. Students will become familiar with sampling rate conversion, filtering, compression, and the analysis of biological signals. The course also covers the use of smartphones in telemedicine and the application of modern filtering methods, including linear deconvolution and nonlinear approaches.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Offered to foreign students
Entry knowledge
Rules for evaluation and completion of the course
Individual project (software solution + report + presentation) - 20 points.
Final exam (written form) - 70 points.
To be admitted to the exam, a minimum of 15 points must be obtained from the test and project, and a minimum of 35 points must be obtained from the written exam. Laboratory exercises are mandatory.
Aims
A graduate of the course will be able to:
- perform sampling rate conversion and explain its impact on signal processing
- design and implement filters with sampling rate conversion
- understand the principles of wavelet transformation and apply it for filtering, compression, and analysis of biological signals
- analyze data using empirical mode decomposition
- implement linear deconvolution and nonlinear filtering methods
- use smartphones for telemedicine applications
Study aids
Prerequisites and corequisites
Basic literature
JAN, Jiří. Digital signal filtering, analysis and restoration. London: Institution of Electrical Engineers, 2000. IEE telecommunications series, 44. ISBN 0852967608. (EN)
Recommended reading
Classification of course in study plans
- Programme MPA-BIO Master's 2 year of study, winter semester, compulsory
- Programme MPA-BTB Master's 1 year of study, winter semester, compulsory
- Programme MPAD-BIO Master's 2 year of study, winter semester, compulsory
- Programme MPC-BIO Master's 2 year of study, winter semester, compulsory
- Programme MPC-BTB Master's 2 year of study, winter semester, compulsory
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
02-Sampling frequency conversion
03-Filters with sampling frequency conversion
04-Wavelet Transform - introduction
05-Wavelet Transform - wavelet filter design
06-Wavelet Transform - orthogonal
07-Wavelet Transforms + signal filtering
08-Wavelet Transforms + signal compression
09-Wavelet Transforms + ECG delineation
10-Use of a SmartPhone in telemedicine
11-Empirical Mode Decomposition
12-Instantaneous frequency/amplitude
13-Linear deconvolution, Nonlinear filtration methods
Exercise in computer lab
Teacher / Lecturer
Syllabus
02-Sampling frequency conversion
03-Project assignment + project kick off
04-WT in Matlab - wavelet toolbox, manual wavelet decomposition
05-WT in Matlab - manual wavelet reconstruction
06-WT in Matlab - signal filtering
07-WT in Matlab - signal compression
08-WT in Matlab - ECG delineation
09-Test + SmartPhone in telemedicine
10-Work on individual projects (individual consultation)
11-Work on individual projects (individual consultation)
12-Work on individual projects (individual consultation)
13-Project presentation + lab evaluation