NOTE ABOUT THE EXAM OF 7.4.2020
Due to the coronavirus situation this exam will be carried out via MyCourses. In the Assignments section there is a separate assignment covering the exam questions. You will have access to it during the original exam time, 7.4.2020 17:00-20:00.
Welcome! In this course, modern signal processing techniques in biomedical applications are discussed. Subjects include different spectral analysis methods (incl. higher-order spectra), adaptive filters, pattern recognition methods, and time-frequency methods. Methods will be covered on the basis of real-life application examples as much as possible.
The goal is that, after completing this course successfully, you can:
1. recognise the main properties of a biosignal processing problem and assess what are appropriate techniques to use;
2. explain the underlying properties of the these signal processing techniques;
3. design components of a full 'signal processing and interpretation' chain for a real-life biomedical problem;
4. select and use methods to assess the usefulness/performance of this 'processing chain';
5. understand and discuss the clinical / healthcare requirements for biosignal processing applications
As pre-requisite it is assumed that you have followed an introductory digital signal processing course earlier. In the exercises we will make use of Matlab.
An example of a Basic Signal Processing Course is:
"ELEC-C5230 - Digitaalisen signaalinkäsittelyn perusteet" and the therein suggested book by Mitra
From that course, the material covered in Lecture 1-3, first part of lecture 4, are subjects that are assumed to be known for this course, even if we are going through them here as well (but in fast pace). If you have followed similar course on other universities, that is fine as well - discuss with Mark if in doubt.
Lecturer of the course is: Mark van Gils ( email@example.com )
Course assistant is: Ivan Radevici ( firstname.lastname@example.org )
There will be 8 lecture sessions, each of 3 hours. The first lecture will be on 17 Sept 2019
Thus, Tuesdays 17.9.2019 - 26.11.2019 (with several weeks skipped, please use table below as reference, not the automatically generated table on the right!), 11:15 - 14:00.
We have one 30 min break between the lecture hours - 12:30-13:00.
Lecture room is : Auditorio in Otakaari 3
Introduction and recapitulation of essential techniques
Treatment of non-stationary signals, adaptive filters
Time-frequency analysis, wavelets
Non-linear signals and methods
|8||26.11 .19||From signal processing to information interpretation: decision support|
More details will be provided during the first lecture on 17 Sep 2019