Distance-based temporal similarity metrics for adaptive channel selection in multi-modal EEG-fNIRS BCI frameworks.

According to the analysis, a highly significant difference ( p = 0.002) was observed between the Mean and Median methods for both Support Vector Machines (SVM) and Linear Discriminant Analysis (LDA) classifiers, regardless of the distance metric (Euclidean or Manhattan) used.

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