Course: Biomedical Signals

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Course title Biomedical Signals
Course code ITE/BSI
Organizational form of instruction Lecture + Lesson
Level of course Master
Year of study not specified
Semester Summer
Number of ECTS credits 5
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements Course does not contain work placement
Recommended optional programme components None
Lecturer(s)
  • Koldovský Zbyněk, prof. Ing. Ph.D.
Course content
Topics for lectures 1) Biological and audio signals: action potential, ECG, EEG, PCG, CP, sound, human voice; spectral analysis 2) LTI FIR and IIR filter design, linear-phase filter, case studies 3) Optimum mean-square-error filters and adaptive filtering using LMS and RLS 4) Audio effects 5) Speech enhancement and echo cancellation 6) Elements of array signal processing 7) Principal component analysis and canonical correlation analysis 8) Blind source separation and independent component analysis 9) Tensor decompositions and their applications in signal processing 10) Elements of compressed sensing 11) Elements of signal processing on graphs and applications on big data Topics for exercises 1) Audio recording, ECG recording, data import in Matlab, visualization 2) Ekvalization of audio signals 3) Artifacts removal by means of LTI and adaptive filtering 4) Removal of drift in ECG data 5) Spectral analysis of EEG 6) QRS detection in ECG 7) Foetal ECG extraction 8) Reverb and Delay effects 9) Chorus, Flanger, Phaser and other modulation effects 10) ECG and EEG decomposition and reconstruction using PCA and ICA 11) Tensor decompositions 12) Big data processing

Learning activities and teaching methods
Monological explanation (lecture, presentation,briefing), Demonstration
  • Class attendance - 40 hours per semester
Learning outcomes
Attendees of BSI will capture elemental skills in biological and audio signal processing
Theoretic piece of knowledge and practical skills from requered areas
Prerequisites
No condition of registration, PZS recommended

Assessment methods and criteria
Combined examination

Activity at the practicals / seminars is required for obtaining the credit. Successful answers to the examination questions are necessary for passing the exam.
Recommended literature
  • J. Uhlíř, P. Sovka. Číslicové zpracování signálů. ČVUT PRAHA, 1995. ISBN 80-01-02613-2.
  • Rangaraj M. Rangayyan. Biomedical Signal Analysis: A Case-Study. John Wiley & Sons Inc (sea) Pte Ltd., 2002. ISBN 981412611X.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Mechatronics, Informatics and Interdisciplinary Studies Study plan (Version): Information Technology (2013) Category: Informatics courses 2 Recommended year of study:2, Recommended semester: Summer