Title :
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
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;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2008.2002153
