Social anxiety prediction based on ERP features: A deep learning approach

Social Anxiety Disorder is traditionally diagnosed using subjective scales that may lack accuracy. Recently, EEG technology has gained importance for anxiety detection due to its ability to capture stable and objective neurophysiological activities. However, existing methods mainly focus on extracti...

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Veröffentlicht in:	Journal of affective disorders 2024-12, Vol.367, p.545-553
Hauptverfasser:	Tian, Xiaodong, Zhu, Lingkai, Zhang, Mingxian, Wang, Songling, Lu, Yi, Xu, Xiaolei, Jia, Weikuan, Zheng, Yuanjie, Song, Sutao
Format:	Artikel
Sprache:	eng
Schlagworte:	Anxiety detection EEG EEGNet ERP Social anxiety disorder
Online-Zugang:	Volltext
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