Teaching

Research and teaching go hand in hand. Teachers have the responsibility to change lives for the better. They do this by educating, training and supporting new generations in living up to their full potential.

Robust Signal Processing With Biomedical Applications

This lecture covers fundamental topics and recent developments in robust signal processing. Unlike classical signal processing, which relies strongly on the normal (Gaussian) distribution, robust methods can tolerate impulsive noise, outliers and artifacts that are frequently encountered in biomedical applications. Robust signal processing and biomedical application lectures alternate. Exercises revise the theory and apply robust signal processing algorithms to real world data.

MSc Lecture

Robust and Biomedical Signal Processing

This seminar covers fundamental topics and recent developments in robust signal processing applied to biomedicine. Unlike classical signal processing, which relies strongly on the normal (Gaussian) distribution, robust methods can tolerate impulsive noise, outliers and artifacts that are frequently encountered in biomedical applications.

 

A series of 3 lectures provides the necessary background on robust signal processing and machine learning. They are followed by two lectures on selected biomedical applications, such as, body-worn sensing of physiological parameters, electrocardiogram (ECG), photoplethysmogram (PPG), eye research and biomedical image processing.

MSc Seminar