EEG-Based Autism Spectrum Disorder Detection: A Bibliometric Analysis
Yükleniyor...
Tarih
2022 Ağustos
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Selçuk Üniversitesi
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Autism Spectrum Disorder (ASD) is a common disease in society. Many parents suffer from ignorance of these disorders. Despite the wide prevalence and severity of these disorders, we know little about the neurological basis of the interventions for the purpose of identifying these disorders. One of the popular methods to detect ASD is the Electroencephalography (EEG) signal analysis, thanks to its non-invasive, inexpensive, and accessible nature compared to other neuroimaging technologies. This study contains an overview of detecting ASD with EEG with a bibliometric view driven by the publication statistics provided from the Web of Science database. The analysis includes statistical inferences on the number of publications and received citations in yearly resolution, distribution of document types, research areas, countries, together with the most influential publications, institutions, authors, and journal
Açıklama
Anahtar Kelimeler
Autism detection, Autism Spectrum Disorder, Autism Spectrum Disorder, Deep learning, EEG
Kaynak
Selcuk University Journal of Engineering Sciences
WoS Q Değeri
Scopus Q Değeri
Cilt
22
Sayı
2
Künye
Aljanabi, E., Türker, İ., (2023). EEG-Based Autism Spectrum Disorder Detection: A Bibliometric Analysis. Selcuk University Journal of Engineering Sciences, 22(2), 55-61.
