DocumentCode
2915889
Title
Separating and tracking ERP subcomponents by constrained particle filtering
Author
Jarchi, Delaram ; Abadi, Bahador Makki ; Sanei, Saeid
Author_Institution
Centre of Digital Signal Process., Cardiff Univ., Cardiff, UK
fYear
2009
fDate
5-7 July 2009
Firstpage
1
Lastpage
6
Abstract
In this paper a new method based on particle filtering for separating and tracking event related-potential (ERP) subcomponents in different trials is presented. The latency and amplitude of each ERP subcomponent is formulated in the state space model. Based on some knowledge about ERP subcomponents, a constraint on the state space variables is provided to prevent the generation of invalid particles and also make use of a small number of particles which are most effective especially in high dimensions. The method is applied on the simulated and real P300 data. The algorithm has the ability of tracking P300 subcomponents i.e. P3a and P3b, in single trials even in the low signal-to-noise ratio situations.
Keywords
bioelectric potentials; electroencephalography; medical signal processing; state-space methods; ERP separation; ERP subcomponent tracking; constrained particle filtering; electroencephalogram; event related-potential; real P300 subcomponents; state space model; Brain modeling; Delay; Digital filters; Electroencephalography; Enterprise resource planning; Filtering; Particle filters; Particle tracking; Scalp; State-space methods; Event related potential (ERP); P300; Particle filter; constraint; subcomponent;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Signal Processing, 2009 16th International Conference on
Conference_Location
Santorini-Hellas
Print_ISBN
978-1-4244-3297-4
Electronic_ISBN
978-1-4244-3298-1
Type
conf
DOI
10.1109/ICDSP.2009.5201049
Filename
5201049
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