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