| Course title | Selected chapters from signal theory, biological and acoustic signals |
|---|---|
| Course code | ITE/KSA |
| Organizational form of instruction | Lecture + Lesson |
| Level of course | Master |
| Year of study | not specified |
| Semester | Winter |
| Number of ECTS credits | 3 |
| Language of instruction | Czech |
| Status of course | Compulsory |
| Form of instruction | Face-to-face |
| Work placements | Course does not contain work placement |
| Recommended optional programme components | None |
| Lecturer(s) |
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| Course content |
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Topics for lectures 1) Biological and audio signals: action potential, ECG, EEG, PCG, CP, human voice 2) Practical spectral analysis: Discrete Fourier Transform 3) Filter design for a given purpose: FIR and IIR filters 4) Stochastic signals: mean and variance 5) Quadratic criteria for signal comparisons: covariance and cross-covariance 6) Optimal mean-square-error filters: Wiener filter 7) Adaptive filters: LMS a RLS 8) Principal component analysis 9) Blind source separation by means of Independent component analysis Exercises 1) Import and data processing in Matlab, visualization 2) Frequency band removal using DFT 3) Frequency band removal using FIR and IIR filters 4) Mean and variance estimation using windowing, QRS detection in ECG 5) Covariance matrix estimation and the method of synchronized averaging 6) Wiener filter for signal subtraction: audio echo cancellation and fetal ECG extraction 7) Adaptive signal subtraction using LMS 8) Decomposition and reconstruction of data using PCA: ECG, fetal ECG, EEG, audio 9) Decomposition and reconstruction of data using ICA: ECG, fetal ECG, EEG, audio
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| Learning activities and teaching methods |
| unspecified |
| Learning outcomes |
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Attendees of BSI will capture elemental skills in basic and some advanced methods for biological signal processing.
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| Prerequisites |
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unspecified
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| Assessment methods and criteria |
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unspecified
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| Recommended literature |
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| Study plans that include the course |
| Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester | |
|---|---|---|---|---|
| Faculty: Faculty of Health Studies | Study plan (Version): Biomedical Engineering (14) | Category: Special and interdisciplinary fields | 1 | Recommended year of study:1, Recommended semester: Winter |