A Comprehensive Machine-Learning-Based Software Pipeline to Classify EEG Signals: A Case Study on PN...
A Comprehensive Machine-Learning-Based Software Pipeline to Classify EEG Signals: A Case Study on PNES vs. Control Subjects
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Publisher
Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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Contents
The diagnosis of psychogenic nonepileptic seizures (PNES) by means of electroencephalography (EEG) is not a trivial task during clinical practice for neurologists. No clear PNES electrophysiological biomarker has yet been found, and the only tool available for diagnosis is video EEG monitoring with recording of a typical episode and clinical histor...
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Full title
A Comprehensive Machine-Learning-Based Software Pipeline to Classify EEG Signals: A Case Study on PNES vs. Control Subjects
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TN_cdi_doaj_primary_oai_doaj_org_article_67c93b1fc4ff4836ae9fff5b71877be8
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_67c93b1fc4ff4836ae9fff5b71877be8
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s20041235
