A Method to Extract P300 EEG Signal Feature Using Independent Component Analysis (ICA) for Lie Detection
نویسندگان
چکیده
منابع مشابه
EEG Signal with Feature Extraction using SVM and ICA Classifiers
Identifying artifacts in EEG data produced by the neurons in brain is an important task in EEG signal processingresearch. Theseartifacts are corrected before further analyzing. In this work, fast fixed point algorithm for Independent Component Analysis (ICA) is used for removing artifacts in EEG signals and principal component analysis (PCA) tool is used for reducing high dimensional data and s...
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ژورنال
عنوان ژورنال: Journal of Energy, Mechanical, Material and Manufacturing Engineering
سال: 2017
ISSN: 2548-4281,2541-6332
DOI: 10.22219/jemmme.v2i1.4796