Title | ||
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Spectral estimation of nonstationary EEG using particle filtering with application to event-related desynchronization (ERD). |
Abstract | ||
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This paper proposes non-Gaussian models for parametric spectral estimation with application to event-related desynchronization (ERD) estimation of nonstationary EEG. Existing approaches for time-varying spectral estimation use time-varying autoregressive (TVAR) state-space models with Gaussian state noise. The parameter estimation is solved by a conventional Kalman filtering. This study uses non-G... |
Year | DOI | Venue |
---|---|---|
2011 | 10.1109/TBME.2010.2088396 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Brain models,Noise,Estimation,Autoregressive processes,Biological system modeling,Electroencephalography | Computer science,Particle filter,Artificial intelligence,Estimation theory,Autoregressive–moving-average model,Computer vision,Autoregressive model,Spectral density estimation,Algorithm,Kalman filter,Speech recognition,Gaussian,Gaussian noise | Journal |
Volume | Issue | ISSN |
58 | 2 | 0018-9294 |
Citations | PageRank | References |
16 | 0.93 | 11 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chee-Ming Ting | 1 | 72 | 13.17 |
S. Hussain | 2 | 47 | 9.46 |
Z M Zainuddin | 3 | 20 | 1.80 |
Arifah Bahar | 4 | 26 | 2.60 |