Cargando…
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...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
|
| Materias: | |
| 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 |