Platform for EEG signal processing for motor imagery - application Brain Computer Interface

Over 2 million people are affected by neural diseases such as multiple Sclerosis, Amyotrophic Lateral Sclerosis, spinal cord injury, cerebral palsy, and other diseases impairing the neural pathways that control muscles. Indeed, these diseases cause severe paralysis and the persons suffer from what i...

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Bibliographic Details
Published in2013 2nd International Conference on Advances in Biomedical Engineering pp. 30 - 33
Main Authors Saker, Marie, Rihana, Sandy
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2013
Subjects
Band-pass filters
Brain computer interface
Brain-computer interfaces
Correlation
Discrete wavelet transforms
EEG
Electrodes
Electroencephalography
Feature extraction
motor imagery
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Summary:Over 2 million people are affected by neural diseases such as multiple Sclerosis, Amyotrophic Lateral Sclerosis, spinal cord injury, cerebral palsy, and other diseases impairing the neural pathways that control muscles. Indeed, these diseases cause severe paralysis and the persons suffer from what is called "Locked in syndrom". Consequently, a Brain Computer Interface noted BCI can be used as an alternative communication channel. This project belongs to a Brain Computer Interface research. More precisely, it focuses on the development of noninvasive platform of electroencephalographic (EEG) signals in terms of acquisition, pre-processing, feature extraction for providing an alternative communication or control channel for patient with severe motor disabilities.
ISBN:1479902497
9781479902491
ISSN:2377-5688
2377-5696
DOI:10.1109/ICABME.2013.6648839