Biosignals Processing and Analysis

Recommended Prerequisites

N.A.

Teaching Methods

Theoretical classes with detailed presentation, using audio-visual means, of the concepts, principles and fundamental theories. Theoretical-practical classes for solving practical exercises, which require the combination of different theoretical concepts in order to promote critical reasoning in the presence of more complex problems.
Laboratory classes to solve practical exercises and small application projects using the Matlab tools for signal processing. Whenever possible and convenient we use biosignals data.

Learning Outcomes

Acquire knowledge on signal analysis and processing techniques using linear time-invariant systems, with emphasis in applications with biosignals used in biomedical instrumentation.

Work Placement(s)

No

Syllabus

1. Introduction to signals and systems.
2. Fourier representation of signals and linear time-invariant systems.
3. The Laplace transform.
4. The Z transform.
5. Digital filtering.

Head Lecturer(s)

João Pedro de Almeida Barreto

Assessment Methods

Evaluation
Exam: 100.0%

Bibliography

Simon Haykin and Barry Van Veen, Signals and Systems, 2nd Edition, 2003 John Wiley & Sons. Inc, ISBN 0-471-16474-7

Alex Palamides and Anastasia Veloni, Signals and Systems Laboratory with Matlab, 2011 CRC Press, ISBN 978-1-4398-3055-0