Welcome to the course webpage |
COURSE DESCRIPTION | |
AIM: | This course provides analytical tools for combined time and frequency analysis for biomedical signals. |
LEARNING OUTCOMES: | See course curriculum for detailed intended learning outcomes. |
STYLE AND ASSESSMENT: | Each lecture is 4 hours: Classroom lectures for 2 h and exercises for 2 h. |
EVALUATION: | Mini-project with oral defense. |
MAIN LITERATURE: | Leon Cohen - Time-Frequency analysis John L. Semmlow - Biosignal and Biomedical Image Processing - Matlab-Based Applications |
COURSE PLAN AND MATERIALS |
Lecture | Lecturer | Topic and Materials | Literature | Learning Expectation |
---|---|---|---|---|
Lecture 1 | José Biurrun Manresa | Introduction to Joint Time Frequency Analysis Slides | Exercises | Solutions |
Cohen: ch. 6-7 Semmlow: ch. 6, 139-146 |
Deep Learning |
Lecture 2 | José Biurrun Manresa | Wigner-Ville distribution Slides | Exercises | Solutions |
Cohen: ch. 8 Semmlow: ch. 6, 147-151 |
Deep Learning |
Lecture 3 | José Biurrun Manresa | Kernel properties and design in Cohen's class time-frequency distributions Slides | Exercises | Solutions |
Cohen: ch. 9-12 Semmlow: ch. 6, 152-164 |
Deep Learning |
Lecture 4 | Ernest Nlandu Kamavuako | Continuous wavelet transform Slides | Exercises | Solutions signal_1 , signal_2 |
Semmlow: ch. 7, 165-173 Wavelet tutorial 1 Wavelet Tutorial 2 |
Deep Learning |
Lecture 5 | Ernest Nlandu Kamavuako | Discrete wavelet transform and multi-resolution analysis (MRA) Slides | Exercises | Solutions |
Semmlow: ch. 7, 174-189 Wavelet tutorial 1 Wavelet Tutorial 2 |
Deep Learning |
Lecture 6 | Ernest Nlandu Kamavuako | Filter Banks, Wavelet packets and parameterization Slides | Exercises | Signal |
Semmlow: ch. 7, 174 -192 Nielsen et al 2006 Wavelet Tutotial 2 |
Deep Learning |
Lecture 7 & 8 | Ernest Nlandu Kamavuako José Biurrun Manresa |
Workshop Slides Part 1 | Slides Part 2 |
Scientific Papers | Facilitation |
Lecture 9 | José Biurrun Manresa | Adaptive Filtering Slides | Exercises | Solutions |
Semmlow: ch. xx | Basic knowledge |
Lecture 10 | José Biurrun Manresa | Source Separation Slides | Exercises | Solutions |
Semmlow: xx | Basic knowledge |
Lecture 11 & 12 | Ernest Nlandu Kamavuako José Biurrun Manresa |
Mini-Project | - | Exam |
EVALUATION | |
Mini-project with oral defense. Students will be put in groups of maximum 4 people each. Each group will be provided with previously recorded biological signals with a clearly stated research question that the group has to solve. Each group has to deliver a small report (max 2 A4 pages), but the mini project will be defended individually in an oral session (during the examination period) in order for us to assess the theoretical level of each student. | |
SMI, Fredrik Bajers Vej 7 D3, DK-9220 Aalborg, Denmark, Tel: +45 9940 8827, Fax: +45 9815 4008, E-mail: Contact-SMI | | |