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Utilizing Electroencephalography Measurements for Comparison of Task-Specific Neural Efficiencies: Spatial Intelligence Tasks
Published on: August 9, 2016
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Single-trial EEG analysis using similarity measure
Wei-Yen Hsu1,2
1Department of Information Management, National Chung Cheng University, 168 University Rd. Sec. 1, Min-Hsiung Township, Chiayi County 621, Taiwan.
Bio-Medical Materials and Engineering
|December 20, 2015
Abstract:
Single-trial electroencephalogram (EEG) data are analyzed with similarity measure. Time-frequency representation is constructed from EEG signals. It is then weighted with t-statistics. Finally, the test data are discriminated with similarity measure. Compared with non-weighted version, the experimental results indicate that the proposed method obtains better results in classification accuracy.

