动态在线计算机神经心理测试系统

Sean-Ryan Smith
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引用次数: 0

摘要

用于检测认知障碍(CI)的传统认知测试可能难以获得、昂贵且耗时。本论文旨在开发一种自动化的在线计算机化神经心理学测试系统,以一种不引人注目的方式快速跟踪个人在用户日常或每周计划中的认知表现。通过在平板设备中使用嵌入式微传感器,拟议的环境感知系统将捕获与现实环境和测试时间相关的环境和行为数据,通过洞察与用户测试效率和性能相关的环境因素,来补充心理测量结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic Online Computerized Neuropsychological Testing System
Traditional cognitive testing for detecting cognitive impairment (CI) can be inaccessible, expensive, and time consuming. This dissertation aims to develop an automated online computerized neuropsychological testing system for rapidly tracking an individual's cognitive performance throughout the user's daily or weekly schedule in an unobtrusive way. By utilizing embedded microsensors within tablet devices, the proposed context-aware system will capture ambient and behavioral data pertinent to the real-world contexts and times of testing to compliment psychometric results, by providing insight into the contextual factors relevant to the user's testing efficacy and performance.
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