A Spatiotemporal Filtering Methodology for Single-Trial ERP Component Estimation

Author

Ruijiang Li ; Principe, Jose C. ; Bradley, Margaret ; Ferrari, Vera

Author_Institution

Electr. & Comput. Eng. Dept., Univ. of Florida, Gainesville, FL

Volume

56

Issue

1

fYear

2009

Firstpage

83

Lastpage

92

Abstract

A new spatiotemporal filtering method for single-trial event-related potential (ERP) estimation is proposed. Instead of attempting to model the entire ERP waveform, the method relies on modeling ERP component descriptors (amplitude and latency) thru the spatial diversity of multichannel recordings, and thus, it is tailored to extract signals in negative SNR conditions. The model allows for both amplitude and latency variability in the ERP component under investigation. The extracted ERP component is constrained through a spatial filter to have minimal distance (with respect to some metric) in the temporal domain from a user-designed template component. The spatial filter may be interpreted as a noise canceller in the spatial domain. Study with both simulated data and real cognitive ERP data shows the effectiveness of the proposed method.

Keywords

bioelectric potentials; filtering theory; spatiotemporal phenomena; amplitude variability; event related potential estimation; latency variability; single trial ERP component estimation; spatiotemporal filtering; Brain modeling; Data mining; Delay; Electroencephalography; Enterprise resource planning; Filtering; Independent component analysis; Neural engineering; Signal to noise ratio; Spatial filters; Spatiotemporal phenomena; Event-related potentials (ERPs); single-trial estimation; spatiotemporal filtering; Algorithms; Brain; Computer Simulation; Electroencephalography; Evoked Potentials; Humans; Models, Neurological; Normal Distribution;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/TBME.2008.2002153

Filename

4674623