26E053SSO - Systems and Signals in Organism
Course specification | ||||
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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 | ||||
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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 |