Electroencephalography signals

The spontaneous electrical activity of the brain can be measured by electroencephalography (EEG), a technique that has been widely employed to study neurotoxic effects of chemicals both in humans and in experimental animals. EEG waves represent summated synaptic potentials generated by the pyramidal cells of the cerebral cortex (Misra 1992). These potentials are the responses of cortical cells to rhythmical changes arising from thalamic nuclei. The signals recorded can be separated into frequency bands—faster waves exceeding 13 Hz, and slower ones below 4 Hz. 

Electroencephalography (EEG) is a procedure to measure electrical activities by electrodes on scalp. EEG signals analysis have mainly involved with Brain -computer interface (BCI) technology which is a direct technological interface between a brain and a computer not requiring any motor output from the user. BCIs detect electrical activity in the brain indirectly and noninvasively through the scalp via EEG. It provides users with communication channels that do not depend on peripheral nerves and muscles [1] and can provide communication and control to people who are totally paralyzed (e.g., amyotrophic lateral sclerosis (ALS) or brainstem stroke) or have other severe motor disabilities [2] [3]. 

Signal acquisition is some real-time measurement of the electrophysiological state of the brain. This measurement of brain activity is usually recorded via electrodes, but this is by no means a theoretical requirement These electrodes can be either invasive or noninvasive. The most common types of signals include electroencephalography (EEG), electrical brain activity recorded from the scalp... 

J. S. Barlow, "Artefact processing (rejection and minimization) in EEG data processing," in Handbook of Electroencephalography and Clinical Electrophysiology Clinical Applications of Computer Analysis of EEG and Other Neurophysiological Signals (F. H. Lopes da Silva, W. Storm van Leeuwen, and A. Rmond, eds.), ch. 

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