Optimizing Spatial filters for Robust EEG Single-Trial Analysis
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...For classical linear explanation of neural activation patterns in cognitive brain science experiments or Brain Computer Interfacing, see [13, 30, 12, 22]....
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1,675 citations
Cites background or methods from "Optimizing Spatial filters for Robu..."
...Unmixing of these global patterns using a number of spatial r 5395 r filters is therefore typically applied to the whole set of relevant electrodes as a basic step in many successful examples of EEG decoding [Ang et al., 2008; Blankertz et al., 2008; Rivet et al., 2009]....
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...filters is therefore typically applied to the whole set of relevant electrodes as a basic step in many successful examples of EEG decoding [Ang et al., 2008; Blankertz et al., 2008; Rivet et al., 2009]....
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1,280 citations
1,105 citations
Cites background from "Optimizing Spatial filters for Robu..."
...…it possible to cancel out noise and thereby to extract the brain signals of interest with higher sensitivity and specificity (Bießmann et al., 2009; Blankertz et al., 2002, 2008, 2011; Comon, 1994; Dähne et al., 2014; Dolce & Waldeier, 1974; Donchin & Heffley, 1978; Haufe et al., 2010; Hyvärinen…...
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1,046 citations
Cites background from "Optimizing Spatial filters for Robu..."
...For a comprehensive review on spatial filters and linear analysis of EEG we refer to Parra et al. (2005) and for a tutorial on optimal spatial filters for features based on oscillatory brain activity (cf. Blankertz et al., 2008c)....
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...[12])....
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...…Kübler et al., 2001), which finally also attracted the machine learning community to the field (Blankertz et al., 2002; Vidaurre and Blankertz, 2010; Hong et al., 2009; Müller et al., 2008; Blankertz et al., 2008b, 2007a, 2006; Parra et al., 2008, 2003; Wang et al., 2004; Tomioka and Müller, 2010)....
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...…same respect in offline studies, namely explicitely modeling the distribution change (cf. Sugiyama et al., 2007), restricting the feature space to the stationary part only (cf. von Bünau et al., 2009), or enforcing invariance properties in the feature extract step (e.g. Blankertz et al., 2008a)....
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"Optimizing Spatial filters for Robu..." refers background in this paper
...transform (see e.g., [ 9 ]) and averaged over segments of -500 to...
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...transform (e.g. [ 9 ]) and smoothed 2: scorec(t) corrcoef(envc(t,i), yi)i...
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"Optimizing Spatial filters for Robu..." refers background or methods in this paper
...where the scaling of W is commonly determined such that (+) + (−) = I [18]....
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...We use CSP [18], [27] to determine the spatial filter coefficients {w j } J j=1....
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...INTRODUCTION TO CSP ANALYSIS CSP [18], [27] is a technique to analyze multichannel data based on recordings from two classes (conditions)....
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