13D051OMO - Advanced Methods of Electrophysiological Signal Analysis
Course specification | ||||
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Course title | Advanced Methods of Electrophysiological Signal Analysis | |||
Acronym | 13D051OMO | |||
Study programme | Electrical Engineering and Computing | |||
Module | System Control and Signal Processing | |||
Type of study | doctoral studies | |||
Lecturer (for classes) | ||||
Lecturer/Associate (for practice) | ||||
Lecturer/Associate (for OTC) | ||||
ESPB | 9.0 | Status | elective | |
Condition | no | |||
The goal | Applying modern computer methods of signal processing and analysis in physiological signals for diagnostics and automatic diagnosis. Improvement of existing methods. | |||
The outcome | The ability to apply modern computational methods: the analysis electrophysiological signal in research and in clinical conditions, as well as signal processing to improve diagnostic and automatic diagnosis. | |||
Contents | ||||
Contents of lectures | Specificity of processing and analysis of electrophysiological signals (EF). Filters and their application. Digital filters and window functions. Z - transformation. Adaptive MA and ARMA filters. Kalmanov filter. Model estimation and system status. Adaptive signal processing based on multiple inputs. Examples of analysis of electrophysiological signal. | |||
Contents of exercises | Project work. | |||
Literature | ||||
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Number of hours per week during the semester/trimester/year | ||||
Lectures | Exercises | OTC | Study and Research | Other classes |
6 | ||||
Methods of teaching | Lectures, application of methods from recommended papers. | |||
Knowledge score (maximum points 100) | ||||
Pre obligations | Points | Final exam | Points | |
Activites during lectures | 0 | Test paper | 70 | |
Practical lessons | 0 | Oral examination | 0 | |
Projects | ||||
Colloquia | 30 | |||
Seminars | 0 |