Artifact suppression and analysis of brain activities with EEG signals

Electroencephalography is a test to measure the electrical activity of the brain generated by scalp surface after being picked up by metal electrodes and conductive media.

Proper classification of electroencephalography data is the main task in electroencephalography based . Brain-computer interface is a communication system that connects the brain with computer (or other devices) but is not dependent on the normal output of the brain (i.e., peripheral nerve and muscle). Such interface transforms neural activities into signals to establish a new mode of communication which can be used by subjects with severe .

Researchers from Pabna University of Science and Technology (Pabna, Bangladesh) and the University of Tokyo (Tokyo, Japan) used a data adaptive technique for artifact suppression and brain wave extraction from electroencephalography signals to detect regional brain activities. The regional were mapped on the basis of the spatial distribution of rhythmic components.

The researchers found that the data adaptive technique is very efficient in artifact suppression and identifying individual motor imagery based on the activities of alpha component. They also found that different regions of the brain are activated in response to different stimuli.

These findings were published in the Neural Regeneration Research (Vol. 8, No. 16, 2013).


Explore further

Researchers find people learn to use brain-computer interfaces the same way as other motor skills

More information: Rashed-Al-Mahfuz M, Islam MR, Hirose K, Molla MKI. Artifact suppression and analysis of brain activities with electroencephalography signals. Neural Regen Res. 2013;8(16):1500-1513. www.sjzsyj.org:8080/Jweb_sjzs/ … ttachType=PDF&id=618
Provided by Neural Regeneration Research
Citation: Artifact suppression and analysis of brain activities with EEG signals (2013, July 12) retrieved 16 June 2019 from https://medicalxpress.com/news/2013-07-artifact-suppression-analysis-brain-eeg.html
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.
 shares

Feedback to editors

User comments

Please sign in to add a comment. Registration is free, and takes less than a minute. Read more