Subject description - XP31ZBS
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Explanatory Notes
Instructions
XP31ZBS | Biological Signal Processing | ||
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Roles: | S | Extent of teaching: | 2P+2C |
Department: | 13131 | Language of teaching: | EN |
Guarantors: | Čmejla R. | Completion: | ZK |
Lecturers: | Čmejla R., Janča R., Ježdík P., Rusz J., Sedlák J. | Credits: | 4 |
Tutors: | Čmejla R., Janča R., Ježdík P., Rusz J., Sedlák J. | Semester: | Z |
Web page:
https://moodle.fel.cvut.cz/courses/XP31ZBSAnotation:
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.Study targets:
The aim of the study is to gain knowledge of advanced methods of biological signal processing.Course outlines:
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 |
Exercises outline:
The content of the exercises corresponds with the content of the lectures.Literature:
[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 |
Requirements:
The condition for granting credit is elaboration of selected task.Keywords:
Biological signals; digital processing Subject is included into these academic programs:Program | Branch | Role | Recommended semester |
DOKP | Common courses | S | – |
DOKK | Common courses | S | – |
Page updated 17.1.2025 07:51:06, semester: Z,L/2024-5, Z/2025-6, Send comments about the content to the Administrators of the Academic Programs | Proposal and Realization: I. Halaška (K336), J. Novák (K336) |