Kursinformation

This seminar will enable you to work in groups and apply robust signal processing and machine learning algorithms to real-world biomedical data.

Because of the current COVID-19 pandemic data it is not possible to collect new data. Instead biomedical databases and existing datasets are provided to you. You will present your results during a 20-minute presentation followed by questions. The final assessment is based on the presentation (60 Percent) and an oral examination (40 Percent).

A series lectures provides the necessary background on robust and biomedical signal processing and machine learning. Possible topics include but are not limited to

• Optical heart rate sensing (PPG)
  
• Signal processing for the electrocardiogram (ECG)
  
• Biomedical image processing
  
• Clustering or classification of biomedical data
• Feature extraction from physiological signals
• Artifact removal in biomedical time-series
• Matrix completion for biomedical images
• Cuff-less blood pressure estimation
• Signal processing for eye research

Students are encouraged to choose topics based on their interest, or to suggest a topic that they would like to investigate.