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A Novel Adaptive Fading Kalman Filter-Based Approach to Time-Varying Brain Spectral/Connectivity Analyses of Event-Related EEG Signals

机译：一种基于新的自适应衰落的卡尔曼滤波器的时变脑谱/连接性与事件相关的EEG信号分析的方法

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Jiewei Li; Shing-Chow Chan; Zhong Liu; Chunqi Chang;
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1. Correlation method and Kalman filter-based adaptive angle rate estimation for time-varying periodic signals of the attitude and heading reference system [J] . Peida Hu, Mengzhao Zhang, Rong Zhang, Mechanical systems and signal processing . 2021,第Jula期

机译：基于相关方法和基于卡尔曼滤波器的自适应角速率估计，用于姿态和标题参考系统的时变周期信号
2. Alteration of Cortical Functional Connectivity as a Result of Traumatic Brain Injury Revealed by Graph Theory, ICA, and sLORETA Analyses of EEG Signals [J] . Cao C., Slobounov S. Neural Systems and Rehabilitation Engineering, IEEE Transactions on . 2010,第1期

机译：图论，ICA和sLORETA对脑电信号的分析揭示了颅脑外伤导致皮质功能连通性的改变
3. Single-trial dynamical estimation of event-related potentials: a Kalman filter-based approach [J] . Georgiadis S.D., Ranta-aho P.O., Tarvainen M.P., IEEE Transactions on Biomedical Engineering . 2005,第8期

机译：事件相关电位的单次动态估计：基于卡尔曼滤波器的方法
4. Kalman filter-based time-varying cortical connectivity analysis of newborn EEG [C] . Omidvarnia A. H., Mesbah M., Khlif M. S., 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society . 2011

机译：基于卡尔曼滤波的新生儿脑电图时变皮层连通性分析
5. Investigate the potential of EEG signals for biometric authentication: A power spectral density approach. [D] . Shrivastava, Hemang. 2015

机译：研究脑电信号用于生物识别的潜力：一种功率谱密度方法。
6. Alteration of Cortical Functional Connectivity as a Result of Traumatic Brain Injury Revealed by Graph Theory ICA and sLORETA Analyses of EEG Signals [O] . C. Cao, S. Slobounov -1

机译：皮质功能连接为创伤性脑损伤的结果的变化揭示图论ICa和脑电信号的sLORETa分析
7. Novel Approach for Time-Varying Bispectral Analysis of Non-Stationary EEG Signals [O] . Shen M, Chan FHY, Beadle PJ, 2005

机译：一种新的非平稳脑电信号时变双频谱分析方法
8. Final Report on LDRD Project 130784: Functional Brain Imaging by Tunable Multi-Spectral Event-Related Optical Signal (EROS) [R] . Speed, A. E., Spahn, O. B., Hsu, A. Y. C. 2009

机译：LDRD项目130784的最终报告：可调谐多光谱事件相关光信号（EROs）的功能性脑成像

A Novel Adaptive Fading Kalman Filter-Based Approach to Time-Varying Brain Spectral/Connectivity Analyses of Event-Related EEG Signals

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