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Arkistoitu opetussuunnitelma 2015–2017
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BIO4705 SGN-52606 Processing of Biosignals 5 op
Organised by
Master's Degree Programme in Bioinformatics
Preceding studies

General description

Course organized by TUT, see TUT study guide for up-to-date information.

Learning outcomes

After this course, the student can:
- describe the common properties of biosignals, and describe basic challenges in processing and analyzing them.
- explain the principles of filtering and spectral analysis and select suitable methods for applications in health and biology.
- analyze common methods of statistical modeling of biological data and explain the assumptions of the models.
- assess the performance of a developed biosignal processing or analysis method.
- apply signal processing methods to biological signals including EEG, ECG, gene expression.
- implement such methods to process biological signals.


- Types and origins of physiological and biological signals, and their basic properties. Basics of data acquisition, sampling, and filtering related to biosignals.
- Filtering of biosignals. Linear filtering, filter design for biosignals.
- Spectral analysis and its applications in biosignals.
- Statistical modelling of biological data. Classification problem.
- Performance estimation, hypothesis testing.
- Computer exercises with Matlab: applying signal processing and analysis methods in real biosignals (EEG, ECG, gene expression data).

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Open University Students
  • Doctoral Students
  • Exchange Students
Participation in course work 
In English


Numeric 1-5.

Belongs to following study modules

Archived Teaching Schedule. Please refer to current Teaching Shedule.