PERFORMANCE OF MODIFIED POWER SPECTRAL DENSITY FEATURES IN EEG SIGNAL CLASSIFICATION
This paper evaluates the performance of classification of Electroencephalogram (EEG) data by focusing on several normalization and dimensionality reduction processes in Power Spectral Density (PSD) signal pre-processing. It focuses on effect of modification of PSD features as an input for classifica...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
2017
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Subjects: | |
Online Access: | View Fulltext in Publisher |