Brain electrical signal pretreatment technology
2016-08-23
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Application background
s of today, the scripts for TFR computations and signal generations are expected to be fully compatible with GNU Octave, but the user has to write a few lines of codes to produce the time-frequency plots.
Key Technology
Under the assumption that the features in each class are generated from Gaussian distributions with the same known covariance but different means it can be shown (Duda et al, 2000) that LDA is optimal, in that it minimises the misclassification rate. As shown in Blankertz et al (2011) the assumption of a common class covariance with different means is well met for EEG ERP classification problems.python
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脑电
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