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

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

This paper proposes a novel adaptive fading Kalman filter (AF-KF)-based approach to time-varying brain spectral and functional connectivity analyses of event-related multi-channel electroencephalogram (EEG) signals. By modeling the EEG signals as a time-varying (TV) multivariate autoregressive (MVAR...

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Bibliographic Details
Main Authors: Jiewei Li, Shing-Chow Chan, Zhong Liu, Chunqi Chang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Electroencephalogram (EEG)
adaptive fading
Kalman filter (KF)
multivariate autoregressive (MVAR)
connectivity analysis
Online Access:https://ieeexplore.ieee.org/document/9028134/

Internet

https://ieeexplore.ieee.org/document/9028134/

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