Please use this identifier to cite or link to this item: https://doi.org/10.1371/journal.pone.0076923
Title: The Synergy between Complex Channel-Specific FIR Filter and Spatial Filter for Single-Trial EEG Classification
Authors: Yu, K.
Wang, Y.
Shen, K. 
Li, X. 
Issue Date: 18-Oct-2013
Source: Yu, K., Wang, Y., Shen, K., Li, X. (2013-10-18). The Synergy between Complex Channel-Specific FIR Filter and Spatial Filter for Single-Trial EEG Classification. PLoS ONE 8 (10) : -. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0076923
Abstract: The common spatial pattern analysis (CSP), a frequently utilized feature extraction method in brain-computer-interface applications, is believed to be time-invariant and sensitive to noises, mainly due to an inherent shortcoming of purely relying on spatial filtering. Therefore, temporal/spectral filtering which can be very effective to counteract the unfavorable influence of noises is usually used as a supplement. This work integrates the CSP spatial filters with complex channel-specific finite impulse response (FIR) filters in a natural and intuitive manner. Each hybrid spatial-FIR filter is of high-order, data-driven and is unique to its corresponding channel. They are derived by introducing multiple time delays and regularization into conventional CSP. The general framework of the method follows that of CSP but performs better, as proven in single-trial classification tasks like event-related potential detection and motor imagery. © 2013 Yu et al.
Source Title: PLoS ONE
URI: http://scholarbank.nus.edu.sg/handle/10635/61530
ISSN: 19326203
DOI: 10.1371/journal.pone.0076923
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