| 1. | Course Title | Biomedical Signal Processing and Analysis | |||||||||||
| 2. | Code | 4ФЕИТ05030 | |||||||||||
| 3. | Study program | 10-DPSM, 22-BE | |||||||||||
| 4. | Organizer of the study program (unit, institute, department) | Faculty of Electrical Engineering and Information Technologies | |||||||||||
| 5. | Degree (first, second, third cycle) | Second cycle | |||||||||||
| 6. | Academic year/semester | I/1 | 7. | Number of ECTS credits | 6.00 | ||||||||
| 8. | Lecturer | Dr Andrijana Kuhar | |||||||||||
| 9. | Course Prerequisites | ||||||||||||
| 10. | Course Goals (acquired competencies):
Introduction to the basic concepts of signals, acquisition of signals and their classification. Familiarity with one-dimensional and two-dimensional biomedical signals, their origin and characteristics, as well as acquisition and compression of digital biosignals and their processing. Ability to define the basic problems related to the analysis of biomedical signals, use calculation and processing methods, analyze the obtained results and draw appropriate conclusions. |
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| 11. | Course Syllabus:
Signals, introduction, definitions. Signal acquisition, noise reduction techniques, time averaging, spectral analysis and filtering. Techniques in processing – Fourier transform, wavelet transform, other methods. Clustering and classification of signals, modulation and demodulation. Biomedical signals, origin, sources, acquisition and characteristics. Characteristics of a cell and tissue from an electrical aspect, characteristics of a neuron. Analysis of low-level biosignals in the presence of noise. Digital biomedical signals and processing, compression of digital biomedical signals. Wavelet analysis for digital biomedical signals. Characteristics, processing and analysis of one-dimensional biosignals: ECG, EEG and EMG. Basic concepts of image processing; digitization; noise filtering. Basics of morphological image processing: logical operations in digital images; dilatation and erosion; opening and closing. Processing with masks; processing in the domain of spatial frequencies; wavelet denoising. Edge detection; segmentation. Quantification of motion from image sequences; application in measuring dynamic biological phenomena. Two-dimensional biosignals, biomedical imaging modalities. X-ray physics, projection slice theorem, acquisition and analysis of X-ray and CT images, inverse Radon transform; physical and physiological principles of the magnetic resonance technique and MR images; physical and physiological principles of ultrasound and US imaging. |
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| 12. | Learning methods:
Actively attending classes, team work and independent work, preparation of project assignments |
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| 13. | Total number of course hours | 180 | |||||||||||
| 14. | Distribution of course hours | 3 + 3 | |||||||||||
| 15. | Forms of teaching | 15.1 | Lectures-theoretical teaching | 45 hours | |||||||||
| 15.2 | Exercises (laboratory, practice classes), seminars, teamwork | 45 hours | |||||||||||
| 16. | Other course activities | 16.1 | Projects, seminar papers | 30 hours | |||||||||
| 16.2 | Individual tasks | 30 hours | |||||||||||
| 16.3 | Homework and self-learning | 30 hours | |||||||||||
| 17. | Grading | ||||||||||||
| 17.1 | Exams | 30 points | |||||||||||
| 17.2 | Seminar work/project (presentation: written and oral) | 50 points | |||||||||||
| 17.3. | Activity and participation | 20 points | |||||||||||
| 17.4. | Final exam | points | |||||||||||
| 18. | Grading criteria (points) | up to 50 points | 5 (five) (F) | ||||||||||
| from 51 to 60 points | 6 (six) (E) | ||||||||||||
| from 61 to 70 points | 7 (seven) (D) | ||||||||||||
| from 71 to 80 points | 8 (eight) (C) | ||||||||||||
| from 81 to 90 points | 9 (nine) (B) | ||||||||||||
| from 91 to 100 points | 10 (ten) (A) | ||||||||||||
| 19. | Conditions for acquiring teacher’s signature and for taking final exam | 60% success from all activities | |||||||||||
| 20. | Forms of assessment | Project assignment and final exam. | |||||||||||
| 21. | Language | Macedonian and English | |||||||||||
| 22. | Method of monitoring of teaching quality | Self-evaluation | |||||||||||
| 23. | Literature | ||||||||||||
| 23.1. | Required Literature | ||||||||||||
| No. | Author | Title | Publisher | Year | |||||||||
| 1. | K. Najarian, R. Splinter | Biomedical Signal and Image Processing | CRC Press | 2006 | |||||||||
| 2. | J. Bronzino, D. Peterson, editors | Biomedical Engineering Fundamentals | CRC Press | 2018 | |||||||||
| 23.2. | Additional Literature | ||||||||||||
| No. | Author | Title | Publisher | Year | |||||||||
| 1. | J. Enderle, J. Bronzino | Introduction to Biomedical Engineering, 3rd Ed. | Academic Press | 2012 | |||||||||
| 2. | A. Johnson | Biology for Engineers | Boca Raton: CRC Press LLC | 2011 | |||||||||
