  The applications of Electroencephalogram (EEG) have been extended to out of
laboratory and clinics recently due to the advancements in the technical
capabilities. There are various advantageous of EEG, making it a preferable
method for a wide range of applications; it is a noninvasive method, it is
portable, it offers good time resolution and sufficient spatial resolution,
besides there are low cost EEG systems available for a commercial use. Since
the early uses of EEG, mainly as monitoring of diseases and pathologies, sleep
staging and event related potential researches, it has been intertwined with
undesired signal types which we call as artifacts. These pose great challenges
in the practice of EEG based methods such as averaging for monitoring and
diagnosis of diseases, and single-trial signal analysis for a relatively recent
application in brain-computer interfaces. However, many techniques have been
developed and under study for better detection and mitigation of these adverse
events. The main artifact types and their handling are discussed in this brief
summary.
