INTERNATIONAL BURCH UNIVERSITY
Faculty of Engineering and Natural Sciences
Department of Genetics and Bioengineering
2016-2017
| SYLLABUS |
| Code |
Name |
Level |
Year |
Semester |
| GBE 325 |
Biomedical Signals and Systems |
Undergraduate |
3 |
Fall |
| Status |
Number of ECTS Credits |
Class Hours Per Week |
Total Hours Per Semester |
Language |
| Area Elective |
5 |
2 + 2 |
125 |
English |
| Instructor |
Assistant |
Coordinator |
| Almir Badnjević, Assoc. Prof. Dr. |
Assist. prof. Almir Badnjević |
Almir Badnjević, Assoc. Prof. Dr. |
| [email protected] |
[email protected] |
no email |
| This course will introduce students to medical and biomedical engineering concepts. The focuses are on how signal analysis can clarify the understanding of biomedical signal interpretation and diagnosis. Topics include EEGs, ECGs, EMGs, respiratory and blood pressure (how they are generated and measured), biosignals as random processes, spectral analysis, wavelets, time-frequency functions, and signal processing for pattern recognition. |
| COURSE OBJECTIVE |
The cognitive, affective and behavioral objectives of this course are following:
• Introduction to the principles of biomedical signals and systems through ECG, EEG, EMG, NIBP, IBP and respiratory examples.
• Explaining the importance of engineering in medicine.
• Giving an outline of characteristics of biomedical signals.
• Providing basic concepts about the human heart.
• Providing basic concepts about the respiratory system |
| COURSE CONTENT |
- Summary and history of biomedical engineering
- Cell physiology, bio-potentials, membrane, and active potentials
- Bioelectrical phenomena, neurons, synaptic transmission
- Biomedical signals: ECG, EEG, EMG, EOG, respiratory signal, biomedical sensors, biomedical signals processing
- Human heart, cardio-cycle, electrocardiogram, vectocardiogram, electrical field of the heart, methods of ECG signal acquisition
- Methods for acquisition, processing and visualization of ECG signal, heart’s rhythm diagnostic
- ECG waveform and significant segments, ECG interpretation and diagnostics, pacemaker
- MID-TERM EXAM WEEK
- Respiratory signal, measurement, extraction from ECG, and measuring respiratory signals
- Blood pressure, invasive and non-invasive measurement methods, biosensors and transducers
- Methods for acquisition, processing and visualization of EEG signal
- Recording and interpretation of EEG, basic concepts and EEG phenomena
- Electrodes for bio-potential measurement, basic electrochemical processes in the cell and tissues, aspects and methods of bioimpedance measurement
- Electrochemical sensors and dialysis: Chemical sensors, separation of the blood components
- FINAL EXAM WEEK
|
| Description |
- Interactive Lectures
- Discussions and group work
|
| Description (%) |
| Homework | 1 | 20 | | Midterm Exam(s) | 1 | 20 | | Laboratory | 1 | 20 |
|
| Learning outcomes |
- knowledge of biomedical system modelling
- different aspects and methods of applying engineering principles in medicine
- characteristics of biomedical signals
- principles of design and implementation of medical devices for physiological signal processing
|
| TEXTBOOK(S) |
- Raden, J.F. (2010). Handbook of Modern Sensors, Physics, Designs and Applications. New York, NY, USA: Springer-Verlag
|
| ECTS (Allocated based on student) WORKLOAD |
| Lecture (14 weeks x Lecture hours per week) | 15 | 2 | 30 | | Laboratory / Practice (14 weeks x Laboratory/Practice hours per week) | 15 | 2 | 30 | | Midterm Examination (1 week) | 1 | 2 | 2 | | Final Examination(1 week) | 1 | 2 | 2 | | Preparation for Midterm Examination | 1 | 14 | 14 | | Preparation for Final Examination | 1 | 15 | 15 | | Assignment / Homework/ Project | 1 | 14 | 14 | | Seminar / Presentation | 1 | 18 | 18 |
|
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