ACADEMICS
Course Details
ELE794 - Biomedical Signal Processing
2023-2024 Spring term information
The course is not open this term
ELE794 - Biomedical Signal Processing
| Program | Theoretýcal hours | Practical hours | Local credit | ECTS credit |
| PhD | 3 | 0 | 3 | 10 |
| Obligation | : | Elective |
| Prerequisite courses | : | - |
| Concurrent courses | : | - |
| Delivery modes | : | Face-to-Face |
| Learning and teaching strategies | : | Lecture, Question and Answer, Case Study, Problem Solving |
| Course objective | : | The course objective is to understand the basics of signal processing theory and utilizing some useful signal processing tools and methods efficiently for the signals frequently encountered in the fields of biology and medicine. |
| Learning outcomes | : | A student completing the course successfully will know the basics of signal processing theory to be used in biomedical studies, Learn the classification of biomedical signals and system modelling approaches, Have basic signal processing tools for the practical biomedical field problems, Efficiently use relevant computer programming tools for developing problem solutions, Learn possible use of artificial intelligence techniques in signal processing and biomedical applications, |
| Course content | : | 1. Introduction to biomedical signal processing 2. Classification of biomedical signals 3. Signals and measurements of biological systems: ECG,EEG,EMG 4. Memory and correlation analysis 5. Continuous and discrete models 6. Noise sources in biomedical systems 7. Noise cancellation and signal conditioning 8. Spectral analysis and modeling 9. Feature extraction, classification and artificial intelligence |
| References | : | Lecture Notes.; ; Bruce, E.N., Biomedical Signal Processing and Signal Modeling, John Wiley &; Sons, 2001.; ; Rangayyan, R. M., Biomedical Signal Analysis: A case-study approach, IEEE; Press/Wiley Inter-Science, 2002.; ; Oppenheim, A.V., Willsky, A.S., Signals and Systems, 2nd Edt, Prentice-Hall, 1997. |
| Weeks | Topics |
|---|---|
| 1 | Introduction to biomedical signal processing |
| 2 | Classification of biomedical signals |
| 3 | Signals and measurements of biological systems: ECG,EEG |
| 4 | Signals and measurements of biological systems: EMG, EOG |
| 5 | Memory and correlation analysis |
| 6 | Continuous time signals and models |
| 7 | Discrete time signals and models |
| 8 | Midterm Exam I |
| 9 | Noise sources in biomedical systems |
| 10 | Noise cancellation and signal conditioning |
| 11 | Spectral analysis and modeling |
| 12 | Midterm Exam II |
| 13 | Feature extraction, classification |
| 14 | Artificial intelligence in biomedical applications |
| 15 | Final exam |
| 16 | Final exam |
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 0 | 0 |
| Laboratory | 0 | 0 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 2 | 20 |
| Presentation | 0 | 0 |
| Project | 0 | 0 |
| Seminar | 0 | 0 |
| Quiz | 0 | 0 |
| Midterms | 2 | 40 |
| Final exam | 1 | 40 |
| Total | 100 | |
| Percentage of semester activities contributing grade success | 60 | |
| Percentage of final exam contributing grade success | 40 | |
| Total | 100 | |
| Course activities | Number | Duration (hours) | Total workload |
|---|---|---|---|
| Course Duration | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, etc.) | 13 | 8 | 104 |
| Presentation / Seminar Preparation | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Homework assignment | 2 | 20 | 40 |
| Quiz | 0 | 0 | 0 |
| Midterms (Study duration) | 2 | 20 | 40 |
| Final Exam (Study duration) | 1 | 30 | 30 |
| Total workload | 32 | 81 | 256 |
| Key learning outcomes | Contribution level | |||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1. | Has highest level of knowledge in certain areas of Electrical and Electronics Engineering. | |||||
| 2. | Has knowledge, skills and and competence to develop novel approaches in science and technology. | |||||
| 3. | Follows the scientific literature, and the developments in his/her field, critically analyze, synthesize, interpret and apply them effectively in his/her research. | |||||
| 4. | Can independently carry out all stages of a novel research project. | |||||
| 5. | Designs, plans and manages novel research projects; can lead multidisiplinary projects. | |||||
| 6. | Contributes to the science and technology literature. | |||||
| 7. | Can present his/her ideas and works in written and oral forms effectively; in Turkish or English. | |||||
| 8. | Is aware of his/her social responsibilities, evaluates scientific and technological developments with impartiality and ethical responsibility and disseminates them. | |||||
1: Lowest, 2: Low, 3: Average, 4: High, 5: Highest