Biomedical Signals and Systems

Data is displayed for academic year: 2023./2024.

Lecturers

Prof.
Mario Cifrek
Prof.
Igor Lacković
Assoc. Prof.
Željka Lučev Vasić

Associate Lecturers

Asst. Prof.
Magdalena Krbot Skorić

Laboratory exercises

Matija Roglić
mag. ing.

Course Description

The discipline of biomedical engineering, a historical perspectives and contemporary trends. The human body: an overview. Basic electrophysiology. Cell and cellular mechanisms. Bioelectricity. Physiologic systems. Nervous system. Muscular system. Circulatory system. Respiratory system. Sensing systems. Homeostasis. Body as a control system. Bioelectric potentials and their main features (ECG, EEG, EMG). Overview of other biomedical signals. Time and frequency domain analysis of the biomedical signals. Pattern recognition applied to the biomedical signals. Diagnostic medical imaging systems. Physiological systems modelling.

Study Programmes

University graduate
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[FER3-HR] Software Engineering and Information Systems - profile
Elective Courses (1. semester) (3. semester)
[FER2-HR] Electronic and Computer Engineering - profile
Specialization Course (3. semester)
[FER2-HR] Information Processing - profile
Recommended elective courses (3. semester)

Learning Outcomes

  1. describe physiological systems in the human body
  2. distinguish main features of biomedical signals
  3. describe biomedical signal registration techniques
  4. compare biomedical signals registration and analysis methods for the particular problem solving

Forms of Teaching

Lectures

Lectures are focused on theoretical and practical aspects of key course topics (two hours per week).

Seminars and workshops

Students (in groups of up to three students) explore a topic or subject of interest related to the course.

Independent assignments

Students (in groups of up to three students) explore a topic or subject of interest related to the course.

Laboratory

Students are obliged to take laboratory exercises (15 hours). During the laboratory exercises, students learn about biomedical signal measurement and analysis on practical examples.

Grading Method

Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Laboratory Exercises 50 % 10 % 50 % 10 %
Seminar/Project 0 % 10 % 0 % 10 %
Mid Term Exam: Written 50 % 20 % 0 %
Final Exam: Written 50 % 20 %
Final Exam: Oral 40 %
Exam: Written 50 % 40 %
Exam: Oral 40 %
Comment:

Continuous evaluation encompasses two written exams (midterm and final exam). Students who do not satisfy at continuous evaluation must undertake both the written and oral exam. Students are questioned at the laboratory exercises and they also collect the points for a practical project.

Week by Week Schedule

  1. The discipline of biomedical engineering, a historical perspectives.
  2. The human body as a system. Homeostasis. Body as a control system.
  3. Cell and cellular mechanisms. Sensory receptors.
  4. Nervous system. Information transmission. Muscular system. Electromyography.
  5. Reflex arc. Central nervous system. Electroencephalography. Electroretinography.
  6. EEG and evoked potentials recording.
  7. Vibration somatosensory evoked potentials. Sternberg auditory memory experiment and cognitive evoked potentials. Voluntary movement evoked potentials.
  8. Midterm exam
  9. Circulatory system. Heart function. Electrocardiography.
  10. Blood pressure. Blood pressure measurement methods.
  11. Phonocardiography. Vectorcardiography. Respiratory system.
  12. Medical imaging systems. X-ray. Fluoroscopy. Digital subtraction angiography. Computed tomography.
  13. Gama camera. Single-photon emission computed tomography. Positron emission tomography. Magnetic resonance imaging (MRI).
  14. Physiological Systems Modelling.
  15. Final exam

Literature

Ante Šantić (1995.), Biomedicinska elektronika, Školska knjiga, Zagreb
Arthur J. Vander (2001.), Human Physiology, Mc Graw Hill, N.Y., USA
John Enderle, Ph.D., Joseph Bronzino, Susan M. Blanchard (2005.), Introduction to Biomedical Engineering, Academic Press
Eugenijus Kaniusas (2012.), Biomedical Signals and Sensors I, Springer
Eugenijus Kaniusas (2015.), Biomedical Signals and Sensors II, Springer

For students

General

ID 240689
  Winter semester
5 ECTS
L1 English Level
L1 e-Learning
30 Lectures
5 Seminar
0 Exercises
15 Laboratory exercises
0 Project laboratory

Grading System

93 Excellent
83 Very Good
73 Good
50 Sufficient

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