Academic Catalog


Course Code: 9060535
METU Credit (Theoretical-Laboratory hours/week): 3(0-0)
ECTS Credit: 8.0
Department: Medical Informatics
Language of Instruction: English
Level of Study: Graduate
Course Coordinator:
Offered Semester: Fall and Spring Semesters.

Course Content

This course provides main tools to interpret the biomedical signals ranging from neural and cardiac rhythms to muscular activity.It takes a probabilistic signal processing approach and introduces traditional methods of time-frequency analysis as well as more recent issues of fractals,self-similarity,cross-frequency coupling and independent component analysis.Theory of methods shall be complemented with biomedical data applications emphasizing and motivating their use in practice.