Please note! Course description is confirmed for two academic years (1.8.2018-31.7.2020), which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.
After this course the student can
1. recognise the main properties of a biosignal processing problem and assess what are appropriate techniques to use
2. explain the underlying principles of these signal processing techniques
3. design components of a full signal processing and interpretation chain for a real-life biomedical problem
4. select and use the right methods to assess the usefulness/performance of this processing chain
5. understand and discuss the clinical / healthcare requirements for biosignal processing applications.
Schedule: 08.09.2020 - 07.12.2020
Teacher in charge (valid 01.08.2020-31.07.2022): Marcus van Gils
Teacher in charge (applies in this implementation): Marcus van Gils
Contact information for the course (applies in this implementation):
CEFR level (applies in this implementation):
Language of instruction and studies (valid 01.08.2020-31.07.2022):
Teaching language: English
Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Modern signal processing techniques in biomedical applications are discussed. Subjects include different spectral analysis methods, adaptive filters, time-frequency methods, and machine learning for time-series analysis.
Assessment Methods and Criteria
Teaching methods: Lectures, exercises that can be done at home and are discussed in the classroom, a home exercise.
Requirements, Assessment Methods and Criteria: Passing the exam. Exercise scores contribute to grading.
- Lectures: 24 h
- Preparation to lectures: 24 h
- Exercise sessions: 12 h
- Independent solving of assignments: 30 h
- Independent studying of theory: 15 h
- 25 h
- Exam: 3 h
Handouts of lecture slides. Additional material may be made available during the course.
Substitutes for Courses
Replaces courses Tfy-99.275 Signal Processing in Biomedical Engineering and Tfy-99.4275 Signal Processing in Biomedical Engineering.
Basic knowledge of signal processing, e.g. course T-61.3015 or ELEC-C5230 or similar are compulsory. Basic skills in Matlab are required.
SDG: Sustainable Development Goals
3 Good Health and Well-being
- Teacher: Ivan Radevici