About this course
This course comprehends/deals methods of biosignal generation, biosignal acquisition and basic parameters of biosignals required for diagnostics. Methods and algorithms for biosignal processing, analysis and evaluation used for biological signals, mainly electrophysiological signals. Preprocessing, filtering, time and frequency analysis. Use of modern spectral analysis methods. Visualisation of results, topographic mapping, method of compressed spectral arrays (CSA). Adaptive segmentation of non-stationary signals is discussed. Application of methods using artificial intelligence. Methods of automated signal classification - supervised/unsupervised, cluster analysis, learning classifier. Artificial neural networks (ANN). Practical application of biosignal processing. Case studies of ANN application on epileptogenic recordings and neural recordings in general. Genetic algorithms and simulated annealing is presented.
Expected learning outcomes
Comprehend and be able to apply methods of biosignal processing.
Course requirements
Active participation in exercises is mandatory. One absence is allowed without giving a reason. Other absences must be documented. During the exercises, student will complete scored tasks, 45 points can be obtained from the scored tasks. At the end of the semester, student will write a final test with value of 55 points. Credit is given if the student obtains at least 50% of the points from the exercise (ECTS grading scale).
Activities
lectures and tutorian sessions
- Local course codeF7AMBPMZD
- Study loadECTS 3
- Levelmaster
- Contact hours per week2
- Instructorsdoc. Ing. Piorecký Marek Ph.D., Ing. Štrobl Jan, Ing. Piorecká Václava Ph.D.
- Mode of deliveryOnline - at a specific time
- Course coordinator
Start date
23 September 2024
- End date16 February 2025
- Main languageEnglish