School of Engineering \ Biomedical Engineering
Course Credit
ECTS Credit
Course Type
Instructional Language
Programs that can take the course
Department of Biomedical Engineering
BMM 307 course includes the basic concepts required for the analysis of biomedical signals and systems, the properties of physiological signals and analysis methods. The course covers the analysis of continuous and discrete time signals, and the examination of systems in the time and frequency domains.
Textbook and / or References
• Hsu PH, "Signals and Systems", Schaum's Outline Series, McGraw Hill, Turkish Translation, 2001 • Signals and Systems, Alan V. Oppenheim, Alan S. Willsky, S. Hamid Nawab, ISBN: 9780138147570, Prentice Hall
The aim of the BMM 307 course is to teach students the basic concepts and techniques required for the analysis of biomedical signals and systems, to introduce the properties of physiological signals and to demonstrate the methods used for the analysis of these signals in practice. The aim of the course is to enable students to understand the representation of signals in time and frequency domains, to learn basic transformation techniques and to apply them to physiological signals.
1. Being able to recognize basic physiological signals (ECG, EEG, EMG, EOG, ENG) and explain their properties.
2. Being able to analyze continuous and discrete time signals and understand their properties.
3. Being able to analyze signals using Laplace and Fourier transforms.
4. Being able to understand transfer functions and use them in system analysis.
5. Being able to analyze multi-dimensional signals and systems.
Week 1: Physiological Signals (ECG, EEG, EMG, EOG, ENG)
Week 2: Physiological Control Systems
Week 3: Representation of Signals in Time Domain
Week 4: Continuous Signals
Week 5: Discrete Signals
Week 6: Folding of Continuous-Time and Discrete-Time Signals
Week 7: Linear Time-Invariant Systems
Week 8: Laplace Transform
Week 9: Transfer Function
Week 10: Fourier Series
Week 11: Fourier Transform
Week 12: Two-Dimensional Fourier Transform
Tentative Assesment Methods
• Midterm 35 %
• Final 50 %
• Homework 10 %
• Participation 5 %
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