5 ECTS credits.
|Language of instruction
The course unit is held in the autumn semester, during period 2. It is recommended to complete the course at the end of studies.
After completing the course, student
- knows special characteristics of the biosignals and typical signal processing methods
- can solve small-scale problems related to biosignal analysis
- implement small-scale software for signal processing algorithms.
Biomedical signals. Digital filtering. Analysis in time-domain and frequency domain. Nonstationarity. Event detection. Signal characterization.
|Mode of delivery
Face-to-face teaching and guided laboratory work. The laboratory work can alternatively be performed on an online system (Mathworks Grader). Student can do the lab works remotely or in the lab using the same online system.
|Learning activities and teaching methods
Lectures 10h, Laboratory work 20h, Self-study 20h, written examination.
Students interested in biomedical engineering, at their master’s level studies.
|Prerequisites and co-requisites
The mathematic studies of the candidate degree program of computer science and engineering, or equivalent. Programming skills, especially basics of the Matlab. Basic knowledge of digital signal processing.
|Recommended optional programme components
The course is an independent entity and does not require additional studies carried out at the same time.
|Recommended or required reading
The course is based on selected chapters of the book "Biomedical Signal Analysis", R.M Rangayyan, 2nd edition (2015). + Lecture slides + Task assignment specific material.
|Assessment methods and criteria
Laboratory work is supervised by assistants who also verify that the task assignments are completed properly. The Matworks Grader online system also verifies the completed tasks.
Read more about assessment criteria at the University of Oulu webpage.
The course unit utilizes a numerical grading scale 1-5. In the numerical scale zero stands for a fail.
|Working life cooperation