EEG Workshop

obligatory courses

Prior to this course student should complete the following courses: 1. Physics II (Electricity and Magnetism).

2. Physics laboratory.

3. Biological signals laboratory.

Classroom

The EEG workshop is devoted to measurment and analysis of EEG signal (electroencephalogram), i.e. electrical brain activity measuread at the scalp. This course is designed for students of Neroiformatics and those interested in EEG techniques.

The aim of this course is to teach students the techniques of measreament of electroencephalogram (EEG) in humans. The construction and parameters of EEG equipment will be presented. The problem of artifacts and methods for thier minimization will be discussed. The course consists of two parts: the theoretical and the practical one. During the practical part students will record their own EEG signals in a number of experimental paradigms.

Theoretical part:

1. EEG signal characteristics. Biophysical basics of brain electrical signal generation. Models of EEG generation and of event related potentials, relation between the electric fields in the brain and on the scalp. EEG signals in epilepsy, neurodegenerative diseases, pharmaco-EEG.

2. History of EEG recordings – source of naming conventions and standards.

3. Construction of EEG apparatus:

a) electrodes, and the processes on the skin-elactrode contact,

b) construction and characteristics of EEG amplifiers,

c) Analog-to-digital converters, filters,

d) sources of external artifacts,

e) safty of EEG measurement.

4. Systems of electrode placement, reference systems.

5. Artifacts in EEG signals.

Practical part:

6. Recording and analysis of resting EEG and EEG in hyperventilation

7. Recording and analysis of visual and auditory evoked potentials

8. Recording and analysis of an odd-ball paradigm experiment

9. Event-related synchronization and desynchronization in motor performanse experiment, elements of time-frequency analysis.

10. Introduction to eye-tracking

1. E. Niedermeyer and F.L. da Silva. Electroencephalography: Basic Principles, Clinical Applications, and Related Fields. Lippincot Williams & Wilkins.

2. Paul L. Nunez. Electric fields of the brain : the neurophysics of EEG.Oxford University Press.

3. A. James Rowan, Eugene Tolunsky. Podstawy EEG z miniatlasem. Wydanie I polskie pod redakcją Aleksandra Sobieszka.

4. L. Chmielewski, J. L. Kulikowski, A. Nowakowski, Obrazowanie biomedyczne, Tom 8, Akademicka Oficyna Wydawnicza Exit. Jest to ósma pozycja wchodząca w skład 9-tomowej monografii Biocybernetyka i Inżynieria Biomedyczna 2000 pod redakcją Macieja Nałecza.

5. Praca zbiorowa pod redakcją Andrzeja Z. Hrynkiewicza i Eugeniusza Rokity, Fizyczne metody diagnostyki medycznej i terapii. Wydawnictwo Naukowe PWN.

6. Grzegorz Pawlicki, Podstawy Inżynierii Medycznej.Oficyna Wydawnicza Politechniki Warszawskiej.

KNOWLEDGE

1 The student has a basic knowledge of methods of generation and measurement of the electrical activity of the brain in different behavioral states of a human. He understands the basic phenomena and physical processes , chemical and biological -related to generation and measurement of EEG signal, understands the importance and possibilities of using scientific and practical, interdisciplinary approach in the sciences and natural sciences ( KW_01 , KW_03 ) .

2 Knows the basic construction and parameters of apparatus for recording EEG activity ( KW_05 ) .

3 He knows the source of the artifacts of the EEG signal and is able to recognize them. Knows the basic paradigms used in research on event related potentials ( KW_04 , KW_06 ) .

4 He knows the methodology of analysis of EEG signals in the temporal and spectral analysis ( KW_02 ) .

5 He knows the basic principles of health and safety related to the ​​EEG signal recording ( KW_07 ) .

SKILLS

1 He can plan and measure the electrical activity of the brain ( KU_01 , KU_06 ) .

2 He uses appropriate numerical methods for the analysis of EEG data ( KU_02 )

3 Is able to implement the procedures needed in high-level programming language ( KU_03 )

4 Can present the results of research ( experimental , theoretical or computational ) in the form of a written report, in the form of oral presentation using computer techniques multimedia presentations ( KU_07 )

ATTITUDES

1 Student recognizes the importance of physics , especially of electrical phenomena in the functioning of the brain.

2 Is able to interact and work in groups ( K_K02 )

3 Can properly identify priorities for specific tasks and projects of various nature ( K_K03 )

The experiments performed by students during practical part will be reported and evaluated.

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