13M051TOBS - Biomedical signal processing techniques
Course specification | ||||
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Course title | Biomedical signal processing techniques | |||
Acronym | 13M051TOBS | |||
Study programme | Electrical Engineering and Computing | |||
Module | Signals and Systems | |||
Type of study | master academic studies | |||
Lecturer (for classes) | ||||
Lecturer/Associate (for practice) | ||||
Lecturer/Associate (for OTC) | ||||
ESPB | 6.0 | Status | elective | |
Condition | none | |||
The goal | Application of analysis and visualization methods on biomedical signals for diagnostics and therapy assessment. | |||
The outcome | Mastering techniques for biomedical signals analysis and its practical application. | |||
Contents | ||||
URL to the subject page | http://automatika.etf.rs/sr/13m051tobs | |||
Contents of lectures | Data types, vector operations, design and optimization of control structures, biomedical systems simulation for generation of biomedical signals. Basic statistical and numerical processing methods. Principal component analysis. Data visualization for topography representation. Application of specific signal processing methods on biomedical data for diagnostics and therapy assessment. | |||
Contents of exercises | Biomedical data manipulation, and application of various analysis methods using R programming. | |||
Literature | ||||
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Number of hours per week during the semester/trimester/year | ||||
Lectures | Exercises | OTC | Study and Research | Other classes |
2 | 2 | |||
Methods of teaching | lectures and practical computer implementation | |||
Knowledge score (maximum points 100) | ||||
Pre obligations | Points | Final exam | Points | |
Activites during lectures | 0 | Test paper | 50 | |
Practical lessons | 0 | Oral examination | 0 | |
Projects | 20 | |||
Colloquia | 30 | |||
Seminars | 0 |