[1]蒋静芳,曾颖,林志敏,等.基于脑电信号的情绪评估研究综述[J].信息工程大学学报,2016,17(6):686-693.
[2]陆苗,邹俊忠,张见,等.基于IMF能量熵的脑电情感特征提取研究[J].生物医学工程研究,2016,35(2):71-74,80.
[3]KASHIHARA K.A brain-computer interface for potential non-verbal facial communication based on EEG signals related to specific emotions[J].European Journal of Clinical Investigation,2014,29(5):395-403.
[4]TSIOURIS K M,MARKOULA S,KONITSIOTIS S,et al.A robust unsupervised epileptic seizure detection methodology to accelerate large EEG database evaluation[J].Biomedical Signal Processing and Control,2018,40:275-285.
[5]张栋,陈东伟,游雅,等.基于自适应Lempel-Ziv复杂度的情感脑电信号特征分析[J].计算机应用与软件,2014,31(9):162-165.
[6]LIN Y P,JUNG T P.Exploring day-to-day variability in EEG-based emotion classification[C]//Proceedings of IEEE International Conference on Systems,Man and Cybernetics.Washington D.C.,USA:IEEE Press,2014:2226-2229.
[7]LIN Y P,HSU S H,JUNG T P.Exploring day-to-day variability in the relations between emotion and EEG signals[C]//Proceedings of Foundations of Augmented Cognition.Berlin,Germany:Springer,2015:461-469.
[8]JAO P K,LIN Y P,YANG Y H,et al.Using robust principal component analysis to alleviate day-to-day variability in EEG based emotion classification[C]//Proceedings of Engineering in Medicine and Biology Society.Washington D.C.,USA:IEEE Press,2015:570-573.
[9]LIN Y P,JAO P K,YANG Y H.Improving cross-day EEG-based emotion classification using robust principal component analysis[J].Frontiers in Computational Neuroscience,2017,11:64.
[10]ARVANEH M,GUAN C,ANG K K,et al.EEG data space adaptation to reduce intersession nonstationarity in brain-computer interface[J].Neural Computation,2013,25(8):2146-2171.
[11]CHENG M M,LU Z H,WANG H X.Regularized common spatial patterns with subject-to-subject transfer of EEG signals[J].Cognitive Neurodynamics,2017,11(2):173-181.
[12]SONG X M,YOON S C.Improving brain-computer interface classification using adaptive common spatial patterns[J].Computers in Biology and Medicine,2015,61(1):150-160.
[13]吕甜甜,王心醉,俞乾,等.基于脑电和肌电多特征的自动睡眠分期方法[J].计算机工程,2017,43(10):283-288.
[14]尚允坤,段锁林,潘礼正.基于ERS/ERD的二级共空间模式的运动想象脑电信号特征提取[J].计算机工程与科学,2017,39(7):1385-1390.
[15]吴林彦,鲁昊,高诺,等.基于CSP算法与小波包分析方法的运动想象脑电信号特征提取性能的比较[J].生物医学工程研究,2017,36(3):224-228.
[16]SAMEK W,KAWANABE M,MULLER K R.Divergence-based framework for common spatial patterns algorithms[J].IEEE Reviews in Biomedical Engineering,2014,7:50-72.
[17]LIU Y,SOURINA O,NGUYEN M K.Real-time EEG-based emotion recognition and its applications[M]//GAVRILOVA M L,KENNETH C J.Transactions on Computational Science XII.Berlin,Germany:Springer,2011:256-277. |