Biomedical Signal Processing and Analysis

Data is displayed for the academic year: 2024./2025.

Lecturers

Prof.
Mario Cifrek
PhD
Prof.
Igor Lacković
PhD
Assoc. Prof.
Željka Lučev Vasić
PhD
Prof.
Damir Seršić
PhD

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
[FER3-HR] Biomedical Engineering - study
(1. semester)

Learning Outcomes

  1. Describe, apply and evaluate methods for biomedical signal processing based on Fourier transform.
  2. Describe and explain main features of biomedical signals such as electrocardiogram (ECG), electromyogram (EMG), electroencephalogram (EEG), heart rate variability (HRV), blood pressure and flow, oxygenation, respiratory signals, nerve conduction, gait/posture, etc.
  3. Apply different signal processing methods in time, frequency, and time-frequency domains to extract clinically relevant information from typical biomedical signals.
  4. Select and use the appropriate signal processing tool (and justify the selection) based on the signal characteristics and the specific processing objective.
  5. Evaluate and explain the results of signal processing.

Forms of Teaching

Lectures

Exams

Consultations

Seminars

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. Lectures: Definition and basic characterization of signals and systems
  2. Lectures: Signal spectrum, variants and properties, Seminar: State of the art
  3. Lectures: Linear time-invariant systems, convolution
  4. Lectures: Systems in frequency domain
  5. Lectures: Sources and characteristics of common biomedical signals
  6. Lectures: ECG signal processing and analysis, Laboratory: ECG signal processing, Seminar: Inovations
  7. Lectures: ECG signal processing and analysis, Laboratory: Autonomic nervous system
  8. Lectures: Midterm exam
  9. Lectures: EMG signal processing and analysis, Laboratory: EMG signal processing, Seminar: Technical concept
  10. Lectures: EEG signal processing and analysis, Laboratory: EEG signal processing
  11. Lectures: EEG signal processing and analysis, Laboratory: Evoked potentials
  12. Lectures: Evoked potentials
  13. Lectures: Blood pressure, photoplethysmography, phonocardiography, respiration, Seminar: Presentations and discussion
  14. Lectures: Signal processing and analysis in biomechanics of human motion, Seminar: Presentations and discussion
  15. Lectures: Final exam

Literature

Ante Šantić (1995.), Biomedicinska elektronika, Školska knjiga
Vander (2001.), Human Physiology, Mc Graw Hill
John Enderle, Joseph Bronzino, Susan M. Blanchard (2005.), Introduction to Biomedical Engineering, Academic Press
Eugenijus Kaniusas (2012.), Biomedical Signals and Sensors I, Springer Science & Business Media
Eugenijus Kaniusas (2015.), Biomedical Signals and Sensors II, Springer

General

ID 261453
  Winter semester
5 ECTS
L1 English Level
L1 e-Learning
30 Lectures
15 Seminar
0 Exercises
15 Laboratory exercises
0 Project laboratory
0 Physical education excercises

Grading System

93 Excellent
83 Very Good
73 Good
50 Sufficient

Similar Courses