Processing of Biosignals, 5 cr

Core content

• 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 (incl. EEG, ECG).

Complementary knowledge

• Artefacts and missing data in biosignals.
• Non-linear filtering, median filtering, adaptive filtering.
• Autoregressive spectral estimation.
• Clustering, regression analysis.
• Statistical methods in hypothesis testing and performance estimation.
• Designing and implementing own algorithms for biosignal processing in Matlab.

Specialist knowledge

• Insights in physiological and biological signal generators.
• Time-frequency analysis.