Data processing and e-health - Master Erasmus Mundus CYBER
Teaching material and outline of lectures of the course Data processing and e-health (Master Erasmus Mundus CYBER) during 2026–2027.
Teaching material
Slides
Outline
General introduction
- What is a time series?
- Usecase of the tutorials
- Scientific questions and outline of the course
Basic signal processing tools
- Sampling theory
- Discrete Fourier Transform
- Digital filters
- Stationarity, ergodicity and autocorrelation function
- Spectrogram
Preprocessings
- Denoising
- Detrending
- Interpolation of missing samples
- Outlier removal
Event detection
- Pattern detection and extraction
- Pattern detection
- Pattern extraction
- Change-point detection
- Anomaly detection