INTERNATIONAL BURCH UNIVERSITY
Graduate Study - Faculty of Engineering and Natural Sciences
3+2 Electrical and Electronic Engineering
||Biomedical Signal Processing
||Number of ECTS Credits
||Class Hours Per Week
||Total Hours Per Semester
|Abdülhamit Subaşı, Prof. Dr.
||Abdülhamit Subaşı, Prof. Dr.
|The objective of this course is
• To understand the key concepts of biomedical signals
• To understand basic electric circuits and their usage for amplification and filtering of biological signals
• To learn the origins of biopotentials and their characteristics in time and frequency domain
• To apply modern engineering tools to collect, analyze and interpret biological signals
• To learn the principles of interfacing with the living systems for collection of biomedical signals
• To introduce biomedical signal processing techniques.
• To interpret how to analyze the biomedical signals
• To understand how to analyze biomedical signals with machine learning techniques
• To develop basic application of biomedical signal processing concepts.
- Basic Concepts
- Principles of Electrocardiography
- Principles of Electromyography
- Principles of Electroencephalography
- Evoked Potential and BCI
- Spectral Analysis: Classical Methods
- Spectral Analysis: Modern Techniques
- Time–Frequency Methods
- The Wavelet Transform
- Advanced Signal Processing Techniques
- Multivariate Analyses: Principal Component Analysis, Independent Component Analysis, Multiscale Principal Component Analysis
- Analysis of biomedical signals with machine learning techniques
- Research Presentation
- Research Presentation
| Final Exam||1||35|
- Demonstrate a systematic and critical understanding of the theories, principles and practices of biomedical signal processing;
- Creatively apply contemporary theories, processes and tools in the development and evaluation of solutions to problems and product design in biomedical engineering;
- Actively participate in, reflect upon, and take responsibility for, personal learning and development, within a framework of lifelong learning and continued professional development;
- Present issues and solutions in appropriate form to communicate effectively with peers and clients from specialist and non-specialist backgrounds;
- Work with minimum supervision, both individually and as a part of a team, demonstrating the interpersonal, organisation and problem-solving skills supported by related attitudes necessary to undertake employment.
- 1.John L. Semmlow, Biosignal and Biomedical Image Processing MATLAB-Based Applications, CRC, Third Edition, 2014.
|ECTS (Allocated based on student) WORKLOAD
|Lecture (14 weeks x Lecture hours per week)|| ||0|
|Laboratory / Practice (14 weeks x Laboratory/Practice hours per week)|| || ||0|
|Midterm Examination (1 week)|| || ||0|
|Final Examination(1 week)|| || ||0|
|Preparation for Midterm Examination|| || ||0|
|Preparation for Final Examination|| || ||0|
|Assignment / Homework/ Project|| || ||0|
|Seminar / Presentation|| || ||0|