Sliding HDCA: Single-Trial EEG Classification to Overcome and Quantify Temporal Variability


Patterns of neural data obtained from electroencephalography (EEG) can be classified by machine learning techniques to increase human-system performance. In controlled laboratory settings this classification approach works well; however, transitioning these approaches into more dynamic, unconstrained environments will present several significant challenges… (More)
DOI: 10.1109/TNSRE.2014.2304884


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