A Data Driven Approach for Resting-state EEG signal Classification of Schizophrenia with Control Par...
A Data Driven Approach for Resting-state EEG signal Classification of Schizophrenia with Control Participants using Random Matrix Theory
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Resting state electroencephalogram (EEG) abnormalities in clinically high-risk individuals (CHR), clinically stable first-episode patients with schizophrenia (FES), healthy controls (HC) suggest alterations in neural oscillatory activity. However, few studies directly compare these anomalies among each types. Therefore, this study investigated whet...
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A Data Driven Approach for Resting-state EEG signal Classification of Schizophrenia with Control Participants using Random Matrix Theory
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TN_cdi_proquest_journals_2071264805
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2071264805
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2331-8422
