The course
Biomedical Signal Processing
May 29 – 31,
Kaunas University of Technology
The aim of this course is to present an overview of different methods used in biomedical signal processing. Signals with bioelectric origin are given special attention and their properties and clinical significance are reviewed. In many cases, the methods used for processing and analyzing biomedical signals are derived from a modelling perspective based on statistical signal descriptions. The purpose of the signal processing methods ranges from reduction of noise and artefacts to extraction of clinically significant features. The course gives each participant the opportunity to study the performance of a method on real, biomedical signals.
Content: bioelectric signals from the brain and the heart (origin and properties), noise reduction of event-related signals (i.e., ensemble averaging and its many variations), time alignment of signals, artefact reduction by multichannel techniques, nonparametric and parametric spectral analysis, signal representation by basis functions, adaptive filtering using basis functions, time-variable filtering, event detection, analysis of event series (notably heart rate variability), detection of micro potentials and much more.
Course format: lectures and exercises combined with a computer project. The project involves the implementation and evaluation of a suitable selected method in Matlab. The resulting work is summarized in report format and will be subjected to review.
Literature: “Digital processing of electrical signals from the brain and the heart” (table of contents) by Leif Sörnmo and Pablo Laguna, 2001 (free of charge to participants).
“…It should be emphasized that although the brain and the heart are major signal sources, the presented methods are definitely not limited to the analysis of these signals! It can even be of interest for people in telecommunications... All course participants should receive a certificate, and those who finish it will get another. Also I am planning to reward the best computer project with some kind of surprise…” Professor Leif Sörnmo.