You are in:Home/Publications/Azar AT, Balas VE, Olariu T (2014) Classification Of EEG-Based Brain-Computer Interfaces. Advanced Intelligent Computational Technologies and Decision Support Systems, Studies in Computational Intelligence Volume 486, 2014, pp 97-106. DOI: 10.1007/978-3-319-00467-9_9

Dr. Assoc. Prof. Ahmad Taher Azar :: Publications:

Title:
Azar AT, Balas VE, Olariu T (2014) Classification Of EEG-Based Brain-Computer Interfaces. Advanced Intelligent Computational Technologies and Decision Support Systems, Studies in Computational Intelligence Volume 486, 2014, pp 97-106. DOI: 10.1007/978-3-319-00467-9_9
Authors: Not Available
Year: 2014
Keywords: Not Available
Journal: Studies in Computational Intelligence
Volume: 486
Issue: Not Available
Pages: 97-106
Publisher: Springer
Local/International: International
Paper Link:
Full paper Not Available
Supplementary materials Not Available
Abstract:

This chapter demonstrates the development of a brain computer interface (BCI) decision support system for controlling the movement of a wheelchair for neurologically disabled patients using their Electroencephalography (EEG). The subject was able to imagine his/her hand movements during EEG experiment which made EEG oscillations in the signal that could be classified by BCI. The BCI will translate the patient’s thoughts into simple wheelchair commands such as “go” and “stop”. EEG signals are recorded using 59 scalp electrodes. The acquired signals are artifacts contaminated. These artifacts were removed using blind source separation (BSS) by independent component analysis (ICA) to get artifact-free EEG signal from which certain features are extracted by applying discrete wavelet transformation (DWT). The extracted features were reduced in dimensionality using principal component analysis (PCA). The reduced features were fed to neural networks classifier yielding classification accuracy greater than 95 %.

Google ScholarAcdemia.eduResearch GateLinkedinFacebookTwitterGoogle PlusYoutubeWordpressInstagramMendeleyZoteroEvernoteORCIDScopus