- To explain the origin of electrophysiological signals.
- To relate the characteristics of electrophysiological signals and the person''s health conditions.
- To describe the devices used to record the electrophysiological signals.
- To recognize the main signal processing tools applied to different electrophysiological data.
- To compare the performance of the aforementioned tools.
Carla Maria Quintão Pereira
Weekly - 4
Total - 56
Bioelectricity: a quantitative approach (2000) R. Plonsey, R.C. Barr; Kluwer Academic/Plenum Publishers.
Textbook of medical physiology (1996) A.C. Guyton, J.E. Hall; Saunders Company.
Practical Biomedical Signal Analysis Using MATLAB (2012) K.J. Blinowska, J. Zygierewicz; CRC Press.
Niedermeyer’s Electroencephalography: Basic Principles, Clinical Ap- plications, and Related Fields (2011) D.L. Schomer, F. Lopes da Silva; 6th Ed. Lippincott Williams & Wilkins.
Signal Processing for Neuroscientists: An Introduction to the Analysis of Physiological Signals (2007) van Drongelen, W.; Academic Press.
The theoretical lectures will be delivered by the lecturer, using the support materials that are deemed necessary for each topic. These will include the black board, slides, applets, and demonstrations.
As practice training, the students will carry out a laboratory project related to one particular subject covered during the course.
2 tests (rated 0-20, rounded to the first decimal, minimum 9,5). Calculator is not allowed.
1 project (rated 0-20, rounded to the unit, minimum 10).
Permission to attend the final exam: succeed on the project, be present at, at least, 2/3 of laboratory lectures.
n1, n2 and n3 are the grades of the first three tests; and n4 is the grade of the project.
Final grade: same as intermediary grade, if a passing grade was attained therein.
Final grade: 70% of a final exam + 30% of the project (needs to have passed it in the current year)
2.1 Neural electrical activity
2.2 The origin of the electroencephalogram: spontaneous and evoked potentials.
2.3 Acquiring electroencephalogram.
3.1 Acquiring magnetic fields of the brain.
3.2 Comparison between electro- and magnetoencephalogram.
4.1 Electrical activity of the heart.
4.2 Acquiring electrical activity of heart.
5.1 Electrical activity of motor unit.
5.2 Acquiring electrical activity of the the muscles.
6. Electrodermal activity
6.1 Fisiological nature of the electrodermal activity
6.2 Acquisition and characteristics of the electrodermal signal
7. Processing of electrophysiological data
7.1 Visualization and pre-processing tools
7.3 Principal Component Analysis
7.4 Independent Component Analysis
7.5 Source Localization
Programs where the course is taught: