A virtual reality-based multimodal framework for adolescent depression screening using machine learning

BackgroundMajor depressive disorder (MDD) in adolescents poses an increasing global health concern, yet current screening practices rely heavily on subjective reports. Virtual reality (VR), integrated with multimodal physiological sensing (EEG+ET+HRV), offers a promising pathway for more objective d...

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Hlavní autoři:	Yizhen Wu, Yuling Qiao, Licheng Wu, Minglin Gao, Tsz Yiu Wong, Jingyun Li, Zhimeng Wang, Xu Zhao, Hui Zhao, Xiwang Fan
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2025-09-01
Edice:	Frontiers in Psychiatry
Témata:	virtual reality multimodal sensing adolescent depression EEG eye tracking heart rate variability
On-line přístup:	https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1655554/full
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