EEG classification of physiological conditions in 2D/3D environments using neural network

• Main Authors: Mumtaz, Wajid, Xia, Likun, Malik, Aamir Saeed, Mohd Yasin, Mohd Azhar
• Format: Conference or Workshop Item
• Published: 2013
• Subjects: Q Science (General); RZ Other systems of medicine; T Technology (General)
• Online Access: http://eprints.utp.edu.my/10826/1/EEG%20Classification%20of%20Physiological%20Conditions%20in%202D_3D.pdf; http://dx.doi.org/10.1109/EMBC.2013.6610480; http://eprints.utp.edu.my/10826/
• Institution: Universiti Teknologi Petronas

Higher classification accuracy is more desirable for brain computer interface (BCI) applications. The accuracy can be achieved by appropriate selection of relevant features. In this paper a new scheme is proposed based on six different nonlinear features. These features include Sample entropy (SampE...