Abstract
Inter-channel time-varying (TV) relationships of scalp neural recordings offer deep understanding of the brain sensory and cognitive functions. This paper develops a state space-based TV multivariate autoregressive (MVAR) model for estimating TV-information flow (IF) recruited by different motor imagery (MI) movements. TV model coefficients are computed through Kalman filter (KF) by incorporating Kalman smoothing approach and expectation-maximization algorithm for model parameter estimation, KS-EM. Volume conduction (VC) problem is also addressed by considering full noise covariate in observation equation. An automated model initialization is also implemented to deliver optimal estimates. TV-partial directed coherence derived from the proposed model is applied for IF analysis. The performance of KS-EM is assessed and compared with dual extended KF and overlapping sliding window-based MVAR models using simulated data. Finally, TV-IF during four different MI movements is studied. Results show the superiority of KS-EM for tracking the rapid signal parameter changes and eliminating the VC effect in the sensor space EEG. Differences in contralateral/ipsilateral TV-IF around alpha and lower beta bands during each MI task reveal the high potential of this feature for BCI applications.
Original language | English |
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Title of host publication | 2015 International Conference on BioSignal Analysis, Processing and Systems, ICBAPS 2015 |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 118-122 |
Number of pages | 5 |
ISBN (Electronic) | 9781479968794 |
DOIs | |
Publication status | Published - 5 Oct 2015 |
Externally published | Yes |
Event | International Conference on BioSignal Analysis, Processing and Systems 2015 - Kuala Lumpur, Malaysia Duration: 26 May 2015 → 28 May 2015 Conference number: 1st https://ieeexplore.ieee.org/xpl/conhome/7277373/proceeding (Proceedings) |
Conference
Conference | International Conference on BioSignal Analysis, Processing and Systems 2015 |
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Abbreviated title | ICBAPS 2015 |
Country/Territory | Malaysia |
City | Kuala Lumpur |
Period | 26/05/15 → 28/05/15 |
Internet address |
Keywords
- brain connectivity analysis
- electroencephalogram
- motor imagery movement
- sensor space connectivity
- state space model