Electrophysiology
Objectives
- 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.
General characterization
Code
10534
Credits
6.0
Responsible teacher
Ana Rita Mendes Londral Gamboa
Hours
Weekly - 4
Total - 56
Teaching language
Português
Prerequisites
Available soon
Bibliography
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.
Medical Physics and Biomedical Engineering (1999) B.H Brown, et al; Institute of Physics Publishing.
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.
Teaching method
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.
Evaluation method
The assessment of the course unit consists of two tests and a project. Each test is graded on a scale from 0 to 20, rounded to the nearest tenth. The arithmetic average of the two tests must be at least 9.5 points for the student to pass. The project is also graded from 0 to 20, rounded to the nearest whole number, with a minimum required grade of 10 points.
To obtain attendance for the course unit, the student must pass the project and attend at least two-thirds of the practical classes.
The final grade under continuous assessment is calculated by weighting 70% of the average of the two tests and 30% of the project grade, according to the following formula:
Final grade: 0.7 × (test1 + test2)/2 + 0.3 × project
The minimum passing grade for both the tests and the final exam is 9.5 points.
If the student chooses or is required to take the final exam due to not meeting the minimum average in the tests, the final grade will be calculated as 70% of the exam grade and 30% of the project grade. In this case, the minimum required grade in the exam is also 9.5 points.
Subject matter
1. Introduction.
2. Basic Concepts of Biomedical Signals Processing
2.1 Analogic vs digital signals
2.2 Amplitude resolution
2.3 Sampling rate
2.4 Introduction to the Nyquist''''''''''''''''s Theorem
2.5. Introduction to Fourier Analysis
2.6 Concept of power spectrum
2.7 Signal pre-processing techniques: filtragem, médias, envelopes
2.8 Statistical description of a signal
2.9 Relationship between two signals: correlation and coherence
3. Electroencefalography
3.1 Neural electrical activity
3.2 The origin of the electroencephalogram: spontaneous and evoked potentials.
3.3 Acquiring electroencephalogram.
4. Magnetoencephalography
4.1 Acquiring magnetic fields of the brain.
4.2 Comparison between electro- and magnetoencephalogram.
5. Electrocadiography
5.1 Electrical activity of the heart.
5.2 Acquiring electrical activity of heart.
6. Electromyography
6.1 Electrical activity of motor unit.
6.2 Acquiring electrical activity of the the muscles.
7. Electrodermal activity
7.1 Fisiological nature of the electrodermal activity
7.2 Acquisition and characteristics of the electrodermal signal