Attempts towards the first brain-computer interface system in INAYA Medical College Online publication date: Tue, 14-Mar-2017
by Islam A. Fouad; Fatma El-Zahraa M. Labib
International Journal of Computer Applications in Technology (IJCAT), Vol. 55, No. 2, 2017
Abstract: In a Brain-Computer Interface (BCI), the user only concentrates on different mental tasks which activate different functional areas in the brain. This work demonstrates the development of a first BCI system in INAYA Medical College based on electroencephalography pattern recognition. A BCI system recorded the activity of the brain and classified it into two different classes: up and down movements. Both offline and online BCI systems were handled. The offline approach was tested using data set provided by University of Tubingen, while the online approach was designed using real-time EEG data that recorded using five scalp electrodes including the reference electrode. 'Blind Source Separation' by independent component analysis was used to remove the artefacts contaminated signal to get artefact-free signal from which certain features were extracted by applying various techniques in both time and frequency domains. The features were fed to five different types of classifiers where classification accuracy reached 90%.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computer Applications in Technology (IJCAT):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook