Biological Signal Processing

Garant předmětu:

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	roomT2:A3-413a Čmejla R. 07:30–09:00 (lecture parallel1) Dejvice Laborator K413AroomT2:A3-413a Čmejla R. 09:15–10:45 (lecture parallel1 parallel nr.101) Dejvice Laborator K413A
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)