Detection of Human Brain Activities in a Normal Human being
Ashima Sindhu Mohanty1, Krishna Chandra Patra2, Akshya Kumar Sahoo3
1Mrs. Ashima Sindhu Mohanty, Department of Electronics and Communication Engineering, GIET University, Gunupur, India
2Mr. Akshya Kumar Sahoo, Department of Electrical Engineering, GIET University, Gunupur, India
3Dr. Krishna Chandra Patra, Department of Electronics and Communication Engineering, GIET University, Gunupur, India
Manuscript received on 09 August 2019 | Revised Manuscript received on 15 August 2019 | Manuscript published on 30 August 2019 | PP: 4004-4007 | Volume-8 Issue-10, August 2019 | Retrieval Number: J97960881019/2019©BEIESP | DOI: 10.35940/ijitee.J9796.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: EEG, MI Data, Artifacts, BRAINSTORM
Scope of the Article: Human Computer Interactions