HIGHLIGHTS
- who: Lifei Chen from the University of Texas at Arlington, United States have published the Article: Automatic detection of abnormal EEG signals using multiscale features with ensemble learning, in the Journal: (JOURNAL)
- what: The authors focused the investigation on the automation of this step. To address the above challenges, the authors propose a simple yet effective method for the detection of abnormal brain signals, which can mine a compact set of features from EEG data to adequately represent the most distinguishing characteristics between target categories. The authors propose a novel framework to automatically classify EEG . . .
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