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13M051TOBS - Biomedical signal processing techniques

Course specification
Course title Biomedical signal processing techniques
Acronym 13M051TOBS
Study programme Electrical Engineering and Computing
Module
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 Biosignal analysis and visualization for enhanced diagnostics and therapy assessment.
    The outcome Mastering techniques for biosignals analysis and its practical application.
    Contents
    URL to the subject page https://automatika.etf.bg.edu.rs/sr/13m051tobs
    Contents of lectures Data types, vector operations, design and optimization of control structures, biomedical systems simulation for generation of biosignals. Basic statistical and numerical processing methods. Data visualization with topography representation. Exploratory biomedical data analysis. Application of specific signal processing methods on biosignals for diagnostics and therapy assessment.
    Contents of exercises Biosignal processing with application of various analysis methods using R programming.
    Literature
    1. Peng R. D. "R programming for data science", Lean Publishing, 2014-2015. (Original title)
    2. Cerutti S., Marchesi C. "Advanced methods of biomedical signal processing", Wiley-IEEE Press, 2011. (Original title)
    3. Irizarry R.A., Love M. I. "Data analysis for the life sciences", Lean Publishing, 2015. (Original title)
    4. Grolemund G., Wickham H. "R for data science: Import, tidy, transform, visualize, and model data", O'Reilly, 2017. (Original title)
    5. Sornmo L., Laguna P. "Bioelectric signal processing in cardiac and neurological applications", Elsevier Inc., 2005. (Original title)
    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