DocumentCode :
1956522
Title :
Platform for EEG signal processing for motor imagery - application Brain Computer Interface
Author :
Saker, Marie ; Rihana, Sandy
Author_Institution :
Biomed. Eng. Dept., Holy Spirit Univ. of Kaslik (USEK), Jounieh, Lebanon
fYear :
2013
fDate :
11-13 Sept. 2013
Firstpage :
30
Lastpage :
33
Abstract :
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.
Keywords :
brain-computer interfaces; electroencephalography; feature extraction; medical signal processing; BCI; EEG signal processing; brain computer interface; electroencephalographic signals; feature extraction; locked in syndrome; motor imagery; severe motor disability; Band-pass filters; Brain-computer interfaces; Correlation; Discrete wavelet transforms; Electrodes; Electroencephalography; Feature extraction; Brain computer interface; EEG; motor imagery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Biomedical Engineering (ICABME), 2013 2nd International Conference on
Conference_Location :
Tripoli
Print_ISBN :
978-1-4799-0249-1
Type :
conf
DOI :
10.1109/ICABME.2013.6648839
Filename :
6648839
Link To Document :
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