Title
Spectral estimation of nonstationary EEG using particle filtering with application to event-related desynchronization (ERD).
Abstract
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 Ting17213.17
S. Hussain2479.46
Z M Zainuddin3201.80
Arifah Bahar4262.60