Data processing and e-health — Master Erasmus Mundus CYBER
Teaching material and outline of lectures 3, 4 and 5 of the course Data processing and e-health (Master Erasmus Mundus CYBER) during 2022–2023.
Teaching material
Slides
Outline
General introduction to Lectures 3, 4 and 5
- What is a time series?
- Use case of the tutorials
- Scientific questions and outline of the course
Lecture 3 — Basic signal processing tools
- Sampling theory
- Discrete Fourier Transform
- Digital filters
- Stationarity, ergodicity and autocorrelation function
- Spectrogram
Lecture 4 — Pre-processings
- Denoising
- Detrending
- Interpolation of missing samples
- Outlier removal
Lecture 5 — Event detection
- Pattern extraction and detection
- Change-point detection
- Anomaly detection