Biological Signal Processing
Code | Completion | Credits | Range | Language |
---|---|---|---|---|
XP31ZBS | ZK | 4 | 2P+2C | English |
- Course guarantor:
- Roman Čmejla
- Lecturer:
- Roman Čmejla, Radek Janča, Petr Ježdík, Jan Rusz, Jan Sedlák
- Tutor:
- Roman Čmejla, Radek Janča, Petr Ježdík, Jan Rusz, Jan Sedlák
- Supervisor:
- Department of Circuit Theory
- Synopsis:
-
The course deals with the processing of biosignals and advanced methods of processing resulting from current research in solving common projects in cooperation with top institutions (medical faculties, institutes of the ASCR, foreign universities). The subject concept allows us to respond flexibly to new directions and knowledge in the field.
- Requirements:
-
The condition for granting credit is elaboration of selected task.
- Syllabus of lectures:
-
I. Signal processing algorithms
1. Heart signals
2. Brain signals
3. Signals of muscles and nerves
4. Eye signals and sleep medicine
5. Voice and speech
6. Processing of less common biosignals (electrogastrogram, lung volumes and capacities, ...)
II. Selected lectures on advanced signal processing (will be adapted to the number and interests of students)
7. Detection and localization of signal changes using Bayesian methods
8. Quantitative evaluation of EEG in epileptology
9. Methods of detection of high-frequency oscillations in invasive EEG
10. Detection of interictal epileptoform discharges
11. Modeling connectivity in neuroscience
12. Analysis of pathological speech in neurology
13. Statistical analysis of speech
14. Surface electromyography in sport
- Syllabus of tutorials:
-
The content of the exercises corresponds with the content of the lectures.
- Study Objective:
-
The aim of the study is to gain knowledge of advanced methods of biological signal processing.
- Study materials:
-
[1] Rangaraj M. Rangayyan: Biomedical Signal Analysis, Wiley-IEEE Press, 2015
[2] Vyas, N., Khalid, S.: Biomedical Signal Processing, Laxmi Publications Pvt Ltd, 2017
[3] Kayvan Najarian: Biomedical Signal and Image Processing, Crc Pr Inc, 2012
[4] Sornmo and P. Laguna, Bioelectrical Signal Processing in Cardiac and Neurological Applications, 2005
[5] Naik, Ganesh R.: Applications, Challenges, and Advancements in Electromyography Signal Processing, IGI Global, 2014
- Note:
- Further information:
- https://moodle.fel.cvut.cz/courses/XP31ZBS
- Time-table for winter semester 2024/2025:
-
06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon Tue Wed Thu Fri - Time-table for summer semester 2024/2025:
- Time-table is not available yet
- The course is a part of the following study plans:
-
- Doctoral studies, daily studies (compulsory elective course)
- Doctoral studies, combined studies (compulsory elective course)
- Doctoral studies, structured daily studies (compulsory elective course)
- Doctoral studies, structured combined studies (compulsory elective course)