Detection of Mild Cognitive Impairment Using a Spiral Drawing Test

IF 0.7 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Katsuya Fujiwara, Kenta Matsuhashi, Kazutaka Mitobe
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引用次数: 0

Abstract

Information and communication technology-based monitoring services for the elderly can be improved by using a monitoring function that automatically detects cognitive decline. Therefore, we developed a system that provides a brief screening for mild cognitive impairment (MCI). This screening is performed by measuring the performance of two tasks completed simultaneously on a tablet device, such as drawing a spiral and counting color changes. First, we used this system to measure and analyze three groups: elderly persons suspected of having MCI, elderly persons with no cognitive impairment, and healthy young adults. We extracted evaluation parameters relevant for determining MCI through analysis. Furthermore, we developed a detection method using the evaluation parameters and performed an evaluation. Cross-validation revealed that the sensitivity and specificity of this method were 90.0% and 75.0%, respectively.
用螺旋图测验检测轻度认知障碍
通过使用自动检测认知能力下降的监测功能,可以改善基于信息和通信技术的老年人监测服务。因此,我们开发了一个系统,提供了一个简短的筛选轻度认知障碍(MCI)。这种筛选是通过测量在平板设备上同时完成的两项任务的表现来完成的,比如画一个螺旋和计算颜色的变化。首先,我们使用该系统测量和分析了三组:怀疑患有轻度认知障碍的老年人、无认知障碍的老年人和健康的年轻人。我们通过分析提取了与MCI相关的评价参数。此外,我们开发了一种使用评估参数的检测方法并进行了评估。交叉验证结果表明,该方法的敏感性为90.0%,特异性为75.0%。
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来源期刊
CiteScore
1.50
自引率
14.30%
发文量
89
期刊介绍: JACIII focuses on advanced computational intelligence and intelligent informatics. The topics include, but are not limited to; Fuzzy logic, Fuzzy control, Neural Networks, GA and Evolutionary Computation, Hybrid Systems, Adaptation and Learning Systems, Distributed Intelligent Systems, Network systems, Multi-media, Human interface, Biologically inspired evolutionary systems, Artificial life, Chaos, Complex systems, Fractals, Robotics, Medical applications, Pattern recognition, Virtual reality, Wavelet analysis, Scientific applications, Industrial applications, and Artistic applications.
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