Credits: 5

Schedule: 10.09.2019 - 09.12.2019

Teaching Period (valid 01.08.2018-31.07.2020): 

I-II (autumn)

Learning Outcomes (valid 01.08.2018-31.07.2020): 

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 methods to assess the usefulness/performance of this ‘processing chain’

5. understand and discuss the clinical / healthcare requirements for biosignal processing applications.

Content (valid 01.08.2018-31.07.2020): 

Modern signal processing techniques in biomedical applications are discussed. Subjects include different spectral analysis methods, adaptive filters, classification methods, and time-frequency methods.

Assessment Methods and Criteria (valid 01.08.2018-31.07.2020): 

Teaching methods:  Lectures, exercises that can be done at home and are discussed afterwards in the classroom, a home exercise.

Requirements, Assessment Methods and Criteria: Passing the exam. Exercise scores contribute to grading.

Workload (valid 01.08.2018-31.07.2020): 

  • Lectures: 24 h
  • Preparation to lectures: 24 h
  • Exercise sessions: 12 h
  • Independent solving of assignments: 30 h
  • Independent studying of theory: 15 h
  • Repetition:
  • 25 h
  • Exam: 3 h

Study Material (valid 01.08.2018-31.07.2020): 

Handouts of lecture slides. Additional material may be made available during the course.

Substitutes for Courses (valid 01.08.2018-31.07.2020): 

Replaces courses Tfy-99.275 Signal Processing in Biomedical Engineering and Tfy-99.4275 Signal Processing in Biomedical Engineering.

Prerequisites (valid 01.08.2018-31.07.2020): 

Basic knowledge of signal processing, e.g. course T-61.3015 or ELEC-C5230 or similar are compulsory. Basic skills in Matlab are required.

Grading Scale (valid 01.08.2018-31.07.2020): 

0 to 5

Registration for Courses (valid 01.08.2018-31.07.2020): 

Registration via WebOodi


Registration and further information