Acquire knowledge about of signal analysis and signal processing techniques, in particular for linear and time invariant systems, with emphasis on applications of biosignals analysis in biomedical instrumentation.
Competence in analysis and synthesis, competence in problem-solving, competence in critical thinking, competence in independent learning.
1. Introduction to the analysis of signals and systems,
2. Representations in the time domain of Linear and Time Invariant Systems - Examples and lab exercises with Matlab;
3. Fourier representations for Signals and Linear and Time Invariant Systems - Examples and lab exercises with Matlab;
4. Fourier representations of composite signals - Examples and lab exercises with Matlab
5.Representation of signals by continuous functions of time: Laplace transform - Examples and lab exercises with Matlab;
6. Representation of Signals by discrete functions of time: Z-Transform - Examples and lab exercises with Matlab;
7. Biosignals Processing - Filtering and Discrete Fourier Transform (DFT) - Examples and lab exercises with Matlab
Algebra, Calculus, Computers and Programming
Generic skills to reach
. Competence in analysis and synthesis; . Competence to solve problems; . Critical thinking; . Competence in autonomous learning; . Competence in applying theoretical knowledge in practice; . Computer Skills for the scope of the study; . Capacity of decision; . Competence for working in group; (by decreasing order of importance)
Teaching hours per semester
total of teaching hours
assessment implementation in 20172018 Exam: 40.0% Frequency: 60.0%
Bibliography of reference
- Simon Haykin and Barry Van Veen, ?Signals and Systems?, 2nd Edition, 2003 John Wiley & Sons. Inc, ISBN 0-471-16474-7
- John L. Semmlow, ?Biosignal and Biomedical Image Processing ? Matlab based Applications?, Marcel Dekker Inc, 2004, ISBN 0-8247-4803-4
- Eugene N. Bruce, ?Biomedical Signal Processing and Signal Modeling?, John Wiley & Sons, Inc., 2001, ISBN 0-471-34540-7
- Gail D. Baura, ?System Theory and Practical Applications of Biomedical Signals?, IEEE Press, ISBN 0-471-23653-5
The course includes theoretical-practical and laboratory sessions. In expository classes audiovisual equipment will be used. The practical classes are expository and are accompanied by suggested exercises that will require the application of the acquired knowledge. Student should participate in the solution of these exercises.In laboratory sessions students carry out the analysis of biosignals and small projects with the help of analysis and signal processing software, Matlab. The laboratory classes allow the analysis of signals in the context of applications for biosignals analysis and biomedical instrumentation. The laboratory activities are undertaken in order to develop critical thinking and synthesis of small projects involving teamwork.
Laboratório computacional dotada com software de analise e processamento de sinais- Matlab.