DS2OMO - Advanced Methods of Electrophysiological Signal Analysis
| Course specification | ||||
|---|---|---|---|---|
| Course title | Advanced Methods of Electrophysiological Signal Analysis | |||
| Acronym | DS2OMO | |||
| 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 | ||||
| ||||
| 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 | 0 | |||
| Colloquia | 30 | |||
| Seminars | 0 | |||

