Electroencephalography-Based Depression Detection Using Multiple Machine Learning Techniques

The growth of biomedical engineering has made depression diagnosis via electroencephalography (EEG) a trendy issue. The two significant challenges to this application are EEG signals’ complexity and non-stationarity. Additionally, the effects caused by individual variances may hamper the generalizat...

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Detalles Bibliográficos
Autores principales: Ksibi, Amel, Zakariah, Mohammed, Menzli, Leila Jamel, Saidani, Oumaima, Almuqren, Latifah, Hanafieh, Rosy Awny Mohamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10217709/
https://www.ncbi.nlm.nih.gov/pubmed/37238263
http://dx.doi.org/10.3390/diagnostics13101779

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10217709/
https://www.ncbi.nlm.nih.gov/pubmed/37238263
http://dx.doi.org/10.3390/diagnostics13101779

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