EEG Classification of Physiological Conditions in 2D/3D Environments Using Neural Network

• Main Authors: Mumtaz, Wajid, Xia, Likun, Yasin, Mohd Azhar Mohd
• Format: Conference or Workshop Item
• Published: 2013
• Subjects: QA Mathematics
• Online Access: http://eprints.utp.edu.my/10914/1/11870472.pdf; http://embc2013.embs.org/; http://eprints.utp.edu.my/10914/
• 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 (Samp...