A Time-Domain Subspace Technique for Estimating Visual Evoked Potential Latencies

• 主要な著者: Yusoff, Mohd Zuki, Kamel, Nidal
• フォーマット: Citation Index Journal
• 出版事項: 2010
• 主題: TK Electrical engineering. Electronics Nuclear engineering
• オンライン･アクセス: http://eprints.utp.edu.my/1133/1/zuki_ijcsns_1.pdf; http://ijcsns.org/; http://eprints.utp.edu.my/1133/

Estimating a visual evoked potential (VEP) from the human brain is challenging since its signal-to-noise ratio (SNR) is generally very low. An optimization and eigen-decomposition-based subspace approach has been investigated and tested to estimate the latencies of visual evoked potential (VEP) sign...