13E053SSO - Systems and Signals in Organism

Course specification
Course title		Systems and Signals in Organism
Acronym		13E053SSO
Study programme		Electrical Engineering and Computing
Module
Type of study		bachelor academic studies
Lecturer (for classes)		professor PhD Milica Janković
Lecturer/Associate (for practice)		professor PhD Milica Janković asst. MA Marija Novičić, electrical and computer engineer
Lecturer/Associate (for OTC)		professor PhD Milica Janković asst. MA Marija Novičić, electrical and computer engineer
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 and apply simple signal/image processing for 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.edu.rs/sr/13e053sso
URL to lectures		https://teams.microsoft.com/l/team/19%3AsR336lZNkIf_f4cAy4CQ_KWsJxBGJV9yEwdX8Ks7fyw1%40thread.tacv2/conversations?groupId=e6ad36d8-a002-4140-99fe-468f558b6ba2&tenantId=1774ef2e-9c62-478a-8d3a-fd2a495547ba
Contents of lectures		Cells and processes on cell membrane. Organization and functional units in nervous system. Morphology and physiology of muscular and vascular system. Hematology. Respiratory system. Digestive tract. Urinary system. Endocrine system. Lymphatic system. Skeletal system. Sensory system and methods of substitution. Instrumentation for measuring/processing of physiological signals and medical imaging.
Contents of exercises		Laboratory exercises, simulations and measurements of physiological signals, visualization of tissues and systems (medical imaging).
Literature
Popović DB, Popović MB, Janković M. Biomedical measurements and instrumentation, Academic Mind, 2010. Popović DB, Medical instrumentation and measurements, Academic Mind, Belgrade, 2014. J. Malmivuo, R. Plonsey: Bioelectromagnetism - Principles and Applications of Bioelectric and Biomagnetic Fields, Oxford University Press, New York, 1995. S. Dunn, A. Constantinides, PV, Moghe, Numerical methods in biomedical engineering, Elsevier, 2006.
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
3	1	1
Methods of teaching		Lectures, exercises and laboratory exercises. Studying of human system and basic characteristics of biological signals based on real measurements acquired by commercial systems or laboratory prototypes, as well as on the analysis of open Internet database of signals/images. Projects in groups are optional.
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures		0	Test paper	0
Practical lessons		0	Oral examination	40
Projects
Colloquia		60
Seminars		0