A Virtual Reality-Based Multimodal Approach to Diagnosing Panic Disorder and Agoraphobia Using Physiological Measures: A Machine Learning Study

<b>Objectives</b>: Virtual reality (VR) has emerged as a promising tool for assessing anxiety-related disorders through immersive exposure and physiological monitoring. This study aimed to evaluate whether multimodal data, including heart rate variability (HRV), skin conductance response (SCR), and...

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Principais autores:	Han Wool Jung, Hyun Park, Seon-Woo Lee, Ki Won Jang, Sangkyu Nam, Jong Sub Lee, Moo Eob Ahn, Sang-Kyu Lee, Yeo Jin Kim, Daeyoung Roh
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2025-09-01
סדרה:	Diagnostics
נושאים:	biomarkers digital markers virtual reality assessment heart rate variability skin conductance galvanic skin response
גישה מקוונת:	https://www.mdpi.com/2075-4418/15/17/2239
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!