Functional brain network and multichannel analysis for the P300-based brain computer interface system of lying detection
作者：
Highlights：
• Successful use of wavelet packet analysis to extract P300 from ERP.
• We propose two new methods for ERP feature extraction and classification.
• Bootstrapped geometric difference analysis is useful for lie detection.
• Functional network analysis is first used in lie detection system.
• Functional brain network in guilty group shows enhanced small world property.
摘要
•Successful use of wavelet packet analysis to extract P300 from ERP.•We propose two new methods for ERP feature extraction and classification.•Bootstrapped geometric difference analysis is useful for lie detection.•Functional network analysis is first used in lie detection system.•Functional brain network in guilty group shows enhanced small world property.
论文关键词：Lie detection,Event related potential,Brain computer interface,Bootstrapped geometric difference,Nonlinear interdependence,Graph theory
论文评审过程：Received 6 May 2015, Revised 17 January 2016, Accepted 18 January 2016, Available online 25 January 2016, Version of Record 11 February 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.01.024
