
| Course Code | : CSE435 |
| Course Type | : Area Elective |
| Couse Group | : First Cycle (Bachelor's Degree) |
| Education Language | : English |
| Work Placement | : N/A |
| Theory | : 2 |
| Prt. | : 2 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 6 |
The aim of this course is to introduce the concepts of biomedical systems, signal processing and biomedical machine learning and to have students apply them. At the end of the course, the student will recognize biomedical devices such as EMG, ECG, EEG, Phonocardiogram, analyze the signals from these devices and learn about applying machine learning to these signals.
Basic concepts, Biomedical device types, Biomedical signals, Biomedical signal processing techniques, Feature extraction and dimensional reduction, Biomedical signal classification applications.