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26E053SSO - Systems and Signals in Organism

Course specification
Course title Systems and Signals in Organism
Acronym 26E053SSO
Study programme Electrical Engineering and Computing
Module Electronics and Digital Systems, Physical Electronics - Biomedical and Nuclear Engineering, Physical Electronics - Nanoelectronics and Photonics, Signals and Systems
Type of study bachelor academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
    Lecturer/Associate (for OTC)
    ESPB 6.0 Status mandatory
    Condition none
    The goal Prepare students to communicate with researchers in the field of medicine; prepare students to understand the characteristics of biological signals, enable students to start studying the organism, enable students to design simple components and systems as well as to apply simple signal/image processing in medical applications.
    The outcome Ability to work in medical institutions and companies dealing with medical equipment and prepare for further work in the field of medical research.
    Contents
    URL to the subject page https://automatika.etf.bg.ac.rs/sr/13e053sso
    Contents of lectures Bioelectrical signals and their characteristics in time/frequency domain. Respiratory system. Contactless measurements. Skeletal system. Electrical and magnetic stimulation. Sensory system and methods of substitution. Digestive tract. Urinary system. Endocrine system. Instrumentation for measuring/processing of physiological and biomechanical signals and medical imaging.
    Contents of exercises Laboratory exercises, simulations and measurements of physiological and biomechanical signals, visualization of tissues and systems (medical imaging).
    Literature
    1. Popović DB, Popović MB, Janković M., Biomedical measurements and instrumentation, Akademska misao, 254 strana, Belgrade, 2010.
    2. Popović DB, Medical instrumentation and measurements, Akademska misao, Belgrade, 2014.
    3. Boric-Lubecke O., Lubecke V.M., Droitcour A.D., Park B.K., Singh A., Doppler radar physiological sensing, John Wiley & Sons, 2015. (Original title)
    4. S. Dunn, A. Constantinides, PV, Moghe, Numerical methods in biomedical engineering, Elsevier, 2006. (Original title)
    5. Suresh R.Devasahayam, Signals and Systems in Biomedical Engineering: Physiological Systems Modeling and Signal Processing, Springer, 2019. (Original title)
    Number of hours per week during the semester/trimester/year
    Lectures Exercises OTC Study and Research Other classes
    3 2
    Methods of teaching Lectures and laboratory exercises. Study of the functioning systems and basic characteristics of biological signals based on real measurements recorded by commercial systems or laboratory prototypes, as well as on the analysis of available signal/image databases. Project tasks in groups.
    Knowledge score (maximum points 100)
    Pre obligations Points Final exam Points
    Activites during lectures Test paper 60
    Practical lessons Oral examination
    Projects 40
    Colloquia
    Seminars