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眼动追踪基简易智测验工具(ETMT):用于检测认知障碍的工具。

ETMT: A Tool for Eye-Tracking-Based Trail-Making Test to Detect Cognitive Impairment.

机构信息

Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Bengaluru 560035, India.

Department of Industrial Engineering, University of Trento, 38123 Trento, Italy.

出版信息

Sensors (Basel). 2023 Aug 1;23(15):6848. doi: 10.3390/s23156848.

Abstract

The growing number of people with cognitive impairment will significantly increase healthcare demand. Screening tools are crucial for detecting cognitive impairment due to a shortage of mental health experts aiming to improve the quality of life for those living with this condition. Eye tracking is a powerful tool that can provide deeper insights into human behavior and inner cognitive processes. The proposed Eye-Tracking-Based Trail-Making Test, ETMT, is a screening tool for monitoring a person's cognitive function. The proposed system utilizes a fuzzy-inference system as an integral part of its framework to calculate comprehensive scores assessing visual search speed and focused attention. By employing an adaptive neuro-fuzzy-inference system, the tool provides an overall cognitive-impairment score, allowing psychologists to assess and quantify the extent of cognitive decline or impairment in their patients. The ETMT model offers a comprehensive understanding of cognitive abilities and identifies potential deficits in various domains. The results indicate that the ETMT model is a potential tool for evaluating cognitive impairment and can capture significant changes in eye movement behavior associated with cognitive impairment. It provides a convenient and affordable diagnosis, prioritizing healthcare resources for severe conditions while enhancing feedback to practitioners.

摘要

认知障碍人数的不断增加将显著增加医疗保健需求。由于缺乏旨在改善此类人群生活质量的心理健康专家,筛查工具对于检测认知障碍至关重要。眼动追踪是一种强大的工具,可以更深入地了解人类行为和内在认知过程。拟议的基于眼动追踪的连线测试(ETMT)是一种用于监测个体认知功能的筛查工具。该系统利用模糊推理系统作为其框架的一个组成部分,计算综合分数来评估视觉搜索速度和集中注意力。通过使用自适应神经模糊推理系统,该工具提供整体认知障碍评分,使心理学家能够评估和量化患者的认知下降或障碍程度。ETMT 模型提供了对认知能力的全面理解,并确定了各个领域的潜在缺陷。研究结果表明,ETMT 模型是评估认知障碍的一种潜在工具,可以捕捉与认知障碍相关的眼动行为的显著变化。它提供了一种便捷且经济实惠的诊断方法,优先考虑严重疾病的医疗保健资源,同时增强对从业者的反馈。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/724d/10422410/4f2a633739e4/sensors-23-06848-g017.jpg

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