Distinguishing Parkinson’s Disease with GLCM Features from the Hankelization of EEG Signals

This study proposes a novel method that uses electroencephalography (EEG) signals to classify Parkinson’s Disease (PD) and demographically matched healthy control groups. The method utilizes the reduced beta activity and amplitude decrease in EEG signals that are associated with PD. The study involv...

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Detalles Bibliográficos
Autores principales: Karakaş, Mehmet Fatih, Latifoğlu, Fatma
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10216898/
https://www.ncbi.nlm.nih.gov/pubmed/37238253
http://dx.doi.org/10.3390/diagnostics13101769

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10216898/
https://www.ncbi.nlm.nih.gov/pubmed/37238253
http://dx.doi.org/10.3390/diagnostics13101769

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