Extracting Single Trial Visual Evoked Potentials using Selective Eigen-Rate Principal Components

• 主要作者: Nidal S., Kamel
• 格式: Conference or Workshop Item
• 出版: 2005
• 主題: TK Electrical engineering. Electronics Nuclear engineering
• 在線閱讀: http://eprints.utp.edu.my/5055/1/VEP-PC.pdf; http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.100.6635&rep=rep1&type=pdf; http://eprints.utp.edu.my/5055/
• 機構: Universiti Teknologi Petronas

Abstract—In single trial analysis, when using Principal Component Analysis (PCA) to extract Visual Evoked Potential (VEP) signals, the selection of principal components (PCs) is an important issue. We propose a new method here that selects only the appropriate PCs. We denote the method as selective...