Detection of artifacts produced in EEG data by eye blinks is a very common problem in EEG research. In this paper we address the detection of eye blink artifacts in a motor imagery (MI) EEG data. Artifacts are nothing but some kind of disturbances present in the brain signal whose origin is not the brain itself. Detection of unwanted artifacts plays a crucial role to acquire artifact free and clean brain EEG signals to analyze and detect brain activities. There are generally two ways of generation of artifacts. From a recorded signal most common and important artifacts in the form of eye blinks are recognized and encapsulated. In this paper a new software tool named BRAINSTORM is introduced for the detection of eye blink artifacts.
CITATION STYLE
Mohanty, A. S., Patra, K. C., & Sahoo, A. K. (2019). Detection of human brain activities in a normal human being. International Journal of Innovative Technology and Exploring Engineering, 8(10), 4004–4007. https://doi.org/10.35940/ijitee.J9796.0881019
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