Abstract: Eye movement, as a behavioral assessment method, plays an increasingly important role in the assisted diagnosis of mental disorders. An eye-movement virtual reality system for assisted diagnosis of depression was developed by combining eye-tracking technology and the eye-movement behavioral mechanism of depression. The system integrated three virtual game scenarios capable of assessing attentional, memory, and spatial navigation abilities in depressed patients, and was capable of recording subjects eye movement data in real time. Accurate assessment of multiple abilities of depressed patients was achieved by feature extraction and analysis of eye data, which in turn enabled assisted diagnosis of depression. The effectiveness of the system in aiding diagnosis of depression was demonstrated through the- DOI:10.3969/j.issn.1000-1565.2024.05.010基于眼动虚拟场景的抑郁症辅助诊断系统赵无忌^1,2,杨建利¹,杨晓茹³,张烁⁴(1. 河北大学 电子信息工程学院,河北省数字医疗工程重点实验室,河北 保定 071002;2. 北京师范大学 心理学部, 北京 100875;3.保定市生产力促进中心, 河北 保定 071000; 4. 河北大学附属医院 人事处,河北 保定 071000)摘 要:眼动作为一种行为学评估方式,在精神类疾病的辅助诊断中起到越来越重要的作用.结合眼动追踪技术以及抑郁症的眼动行为学机理,开发了一款适用于抑郁症辅助诊断的眼动虚拟现实系统.系统中集成了能够对抑郁症患者注意能力、记忆能力和空间导航能力进行评估的3种虚拟游戏场景,并能够实时记录被试者的眼动数据.通过眼动特征提取与分析实现了抑郁症患者多种能力的准确评估,进而实现抑郁症的辅助诊断.通过20名抑郁症患者和20名健康被试者的验证,证明了该系统在抑郁症辅助诊断方面的有效性.该项研究将有助于推进抑郁症的数字化诊疗方式发展.关键词:眼动;抑郁症;虚拟现实;辅助诊断中图分类号:TP391 文献标志码:A 文章编号:1000-1565(2024)05-0535-06Assisted diagnosis system for depression based on eye-movement virtual scenesZHAO Wuji^1,2, YANG Jianli¹, YANG Xiaoru³, ZHANG Shuo⁴(1. Key Laboratory of Digital Medical Engineering of Hebei Province, School of Electronic Information Engineering, Hebei University, Baoding 071002,China;2. Faculty of Psychology, Beijing Normal University, Beijing 100875,China;3. Productivity Promotion Center of Baoding, Baoding 071000,China;4. Human Resources Department, Affiliated Hospital of Hebei University, Baoding 071000,China)Abstract: Eye movement, as a behavioral assessment method, plays an increasingly important role in the assisted diagnosis of mental disorders. An eye-movement virtual reality system for assisted diagnosis of depression was developed by combining eye-tracking technology and the eye-movement behavioral mechanism of depression. The system integrated three virtual game scenarios capable of assessing attentional, memory, and spatial navigation abilities in depressed patients, and was capable of recording subjects eye movement data in real time. Accurate assessment of multiple abilities of depressed patients was achieved by feature extraction and analysis of eye data, which in turn enabled assisted diagnosis of depression. The effectiveness of the system in aiding diagnosis of depression was demonstrated through the- 收稿日期:2023-01-07;修回日期:2023-03-08 基金项目:河北大学自然科学多学科交叉研究计划资助项目(DXK202205) 第一作者:赵无忌(1997—),男,北京师范大学在读博士研究生,主要从事虚拟现实、信号处理方向研究.E-mail:starry995@163.com 通信作者:张烁(1988—),女,河北大学附属医院经济师,主要从事数据统计、智能分析方向研究.E-mail: Zhangshuolele@126.com 第5期赵无忌等:基于眼动虚拟场景的抑郁症辅助诊断系统河北大学学报(自然科学版) 第44卷validation of 20 depressed patients and 20 healthy subjects. The study will help to advance the development of a digital approach to the treatment of depression.

Key words: eye-movement, depression, virtual reality, assisted diagnosis