Open AccessDetection of Human Brain Activities in a Normal Human being
Author(s) -
Mrs. Ashima Sindhu Mohanty,
Akshya Kumar Sahoo,
Krishna Chandra Patra
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.j9796.0881019
Subject(s) - artifact (error) , electroencephalography , computer science , artificial intelligence , brain activity and meditation , computer vision , human brain , signal (programming language) , pattern recognition (psychology) , psychology , neuroscience , programming language
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.