|
ELK5960 | Biomedical Signal Analysis | 3+0+0 | ECTS:7.5 | Year / Semester | Spring Semester | Level of Course | Second Cycle | Status | Elective | Department | DEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING | Prerequisites and co-requisites | None | Mode of Delivery | | Contact Hours | 14 weeks - 3 hours of lectures per week | Lecturer | -- | Co-Lecturer | None | Language of instruction | Turkish | Professional practise ( internship ) | None | | The aim of the course: | Describe the origin, properties of ECG, EEG, EMG and PSG
Filtering biomedical signals
Determine and successfully apply suitable algorithms for analysis of biomedical signals.
Implement algorithms for parametric and non-parametric estimation of a signal's power spectrum density.
Implement time-frequency analysis algorithms.
Filtering biomedical signals.
|
Programme Outcomes | CTPO | TOA | Upon successful completion of the course, the students will be able to : | | | PO - 1 : | Explain nature of biomedical signals such as EMG, ECG, EEG, and PSG | 1,2,4 | 1,3 | PO - 2 : | Explain the characteristics of biomedical signals | 2,4,6,8 | 1,3 | PO - 3 : | Apply signal processing techniques for filtering, noise removal, cancellation of interference | 1,4,5,6 | 1,3 | PO - 4 : | Design signal processing techniques for the detection of important events | 1,3,4,6 | 1,3 | PO - 5 : | Apply spectral analysis techniques to biomedical signals | 1,2,4 | 1,3 | PO - 6 : | Apply frequency-time algorithms to biomedical signals | 1,4,6 | 1,3 | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | |
The nature of biological signals: EMG, ECG, EEG, PCG, The origin of biopotentials, Data acquisition systems, Noise and interference, DSP fundamentals: Sampling, filtering, frequency domain analysis, Filtering artifacts, Event detection , Detection of the QRS complex, Modeling biomedical signals, Analyzing nonstationary signals, Frequency-time analysis, EEG analysis, PSG analysis.
|
|
Course Syllabus | Week | Subject | Related Notes / Files | Week 1 | The origin of biopotentials: EMG, ECG | | Week 2 | The origin of biopotentials EEG, PCG | | Week 3 | Data acquisition systems | | Week 4 | Noise and interference | | Week 5 | DSP fundamentals: Sampling, filtering | | Week 6 | Frequency domain analysis
| | Week 7 | Filtering artifacts | | Week 8 | ECG analysis | | Week 9 | Mid-term exam | | Week 10 | Detection of the QRS complex | | Week 11 | Modeling biomedical signals | | Week 12 | EMG analysis | | Week 13 | Time-frequency analysis for biological signals | | Week 14 | EEG analysis
| | Week 15 | Project presentaion | | Week 16 | Final exam | | |
1 | Rangarray, R. M., 2002; Biomedical Signal Analysis, IEEE Press/Wiley, New York | | 2 | Bruce E.N, 2001; Biomedical signal processing and signal modeling,.Wiley-Interscience, | | 3 | Semmlow: J. L. 2004, Biosignal and Biomedical image processing: MATLAB-based Applications. CRC Press, | | |
Method of Assessment | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | Mid-term exam | 9 | | 2,00 | 30 | Project | 15 | | 1,00 | 20 | End-of-term exam | 16 | | 2,00 | 50 | |
Student Work Load and its Distribution | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | Yüz yüze eğitim | 3 | 14 | 42 | Arasınav için hazırlık | 6 | 8 | 48 | Arasınav | 2 | 1 | 2 | Proje | 5 | 13 | 65 | Dönem sonu sınavı için hazırlık | 6 | 6 | 36 | Dönem sonu sınavı | 2 | 1 | 2 | Total work load | | | 195 |
|