The document discusses the basics of EEG and its measurement. It provides a timeline of EEG invention from 1875 to 1924. It describes how EEG signals are generated from neuronal structures and propagated through electrical signals. It explains how EEG is recorded using a modern EEG machine and electrode placement systems. It discusses filters, amplifiers, polarity conventions, montages, artifacts, and clinical applications of EEG for monitoring brain activity.
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1 basics of eeg and fundamentals of its measurement
2. Timeline of EEG invention
1875
Richard Caton - Presence of continuous and
spontaneous electrical activity from the brain surface
of rabbits and monkeys
1890
Adolf Beck Sensory stimulus can induce spontaneous
and rhythmic oscillation
1912
Vladimir Pravdich Neminsky Produced first animal
EEG and evoked potential of mammalian dog
1924
Hans Berger - Recorded the first human EEG
Figure: Hans Berger and his invention
6. EEG Recording
Figure: Schematic diagram of a modern EEG Machine from the
subject to the data retrieved
Figure: Illustration of EEG electrodes and signal
7. Figure: 10/20 System of EEG electrode placement
Nasion
Inion
Left and right
auricular points
Figure: EEG Scalp electrodes
EEG Electrode Placement
11. Amplifier
All EEG amplifiers are differential amplifiers.
Differential amplifier takes two input
voltages and produces an output that is an
amplified version of the difference between
the two inputs
Advantage Cancels out the external noise
12. Rules of Polarity on EEG
If input 1 is negative with respect to input 2, there is an
upward deflection
If input 1 is positive with respect to input 2, there is a
downward deflection
An upward deflection is surface negative, and a
downward deflection is surface positive
When there is no deflection, the inputs are equipotential
and are either equally active or inactive
Equipotential
14. Montage
Logical and orderly arrangement of channels/electrode pairs on the display
Bipolar Montage
Common electrode reference montage
Average reference montage
Laplacian montage
15. Figure : Commonly used bipolar longitudinal
pattern (Double Banana)
Figure : EEG of Bipolar montage
19. EEG Artifacts
Artifacts are unwanted noise signals in an EEG record.
Classification of artefacts is based on the source of generation:
Physiological artifacts and external artifacts.
Physiologic artifacts:
Any minor body movements
EMG
ECG
Eye movements etc.
Non Physiologic artifacts:
Damage of electrodes
Cable movements
Broken wire contacts
Impedance fluctuation
60/50 H artifact etc
Figure: EEG Artifacts
20. Advantages & Applications of EEG
Excellent temporal resolution
EEG can determine the relative strengths and positions of electrical activity in different brain regions.
EEG does not involve exposure to high intensity magnetic field
Relatively cheap and simple to operate
Applications of the EEG in humans and animals involve:
Research
Clinics
21. Clinical application- EEG is one of the main diagnostic tests for epilepsy
Normal EEG compared to EEG including a seizure: (A) Normal EEG of 15 seconds; (B) EEG
of the same patient having an epileptic seizure visible on electrodes P8 and T8.
22. Clinical applications
Monitor alertness, coma and brain death
Locate areas of damage following head injury, stroke, tumor.
Monitor cognitive engagement (alpha rhythm)
Control anesthesia depth
Investigate epilepsy and locate seizure origin
Investigate sleep disorder and physiology.
Etc.
23. References
Teplan, M. (2002). FUNDAMENTALS OF EEG MEASUREMENT.
Britton JW, Frey LC, Hopp JLet al., authors; St. Louis EK, Frey LC, editors. Electroencephalography (EEG):
An Introductory Text and Atlas of Normal and Abnormal Findings in Adults, Children, and Infants [Internet].
Chicago: American Epilepsy Society; 2016. Available from:
https://www.ncbi.nlm.nih.gov/books/NBK390354/
https://doi.org/10.1684/epd.2020.1217
Light, G. A., Williams, L. E., Minow, F., Sprock, J., Rissling, A., Sharp, R., Swerdlow, N. R., & Braff, D. L.
(2010). Electroencephalography (EEG) and event-related potentials (ERPs) with human participants. Current
protocols in neuroscience, Chapter 6, Unit6.25.24. https://doi.org/10.1002/0471142301.ns0625s52