English
Swedish

Every spring semester

The course provides an overview of methods suitable for solving problems in biomedical signal processing. The student should obtain sufficient insights on the origin on biomedical signals and analysis methods to independently determine suitable methods.

Bioelectrical signals:
Their origin, especially concerning signals reflecting the activity of the brain, the muscles, and the heart.
Information-carrying components in bioelectrical signals.
Common clinical applications of bioelectrical signals.

Brain signals:
Analysis of both spontaneous activity and evoked potentials
Spectral analysis (nonparametric and parametric) and characterization of power spectra.
Time-frequency analysis

have knowledge about biomedical signals and methods which are particularly useful for their processing.
to apply the most common methods on clinical problems (Matlab level)
to define simple mathematical models and to determine related, optimal methods for estimation of relevant information.

to understand the origin of bioelectrical signals and their manifestation on the body surface.
to describe the most common clinical applications where such signals are used.
to describe the most common methods for analysis of both periodic and aperiodic biomedical signals. The description is to be done in catchall terms, i.e., block diagrams and text, as well as with the help of equations.
to formulate and describe statistical signal models being suitable for modelling of specific signal properties.
to implement a method and evaluate its performance in clinically relevant terms.
analyze and solve a specific signal processing problem in the framework of a project.

be able to analyze, assess, and implement algorithms, and also to interpret and to describe their inherent principles.
have insight on the fact that seemingly different technical problems can be dealt with using the same methods.

Lectures

Exercises

Project

Written exam

1-2 comprehensive, mandatory projects which are pursued from a problem-oriented perspective where the student has to take considerable responsability in formulating and solving the assigned task.

Failed, pass

ESS040 Systems and Signals, ETI265 Signal Processing in Multimedia or ETT080 Signals and Communications or EITF15 Signal Processing - Theory and Applications.

L, S. & P, L.: Biomedical Signal Processing in Cardiac and Neurological Applications. Elsevier, 2005. ISBN 0124375529.

With less than 16 participants, the course may be given with reduced teaching and more self studies. The course will be given in English on demand.

BMEN01F

 -05-23

Professor Thomas Johansson