Robot-Assisted ADHD Screening in Diagnostic Process
Robot-Assisted ADHD Screening in Diagnostic Process
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DOI：
10.1007/s10846-018-0890-9
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发表时间：
2019-08-01
影响因子：
3.3
通讯作者：
Park, Injun
中科院分区：
文献类型：
--
作者：
Choi, Mun-Taek;Yeom, Jinseob;Park, Injun
本文提出了一种新的方法来筛选儿童多动症，最流行的儿童疾病之一。我们设计了机器人辅助的游戏式测试，直接反映了儿童在测量ADHD症状时的行为。使用机器人系统中的传感器，在整个测试过程中自动测量孩子的大部分行为。通过对326名3 ~ 4年级儿童进行实地测试，收集了真实的数据。一个统一的框架，分类多个类别的ADHD，ADHD的风险和正常已经建立了调查广泛的分类器和他们的最佳超参数。数据分析的结果显示，ADHD分类的置信度高达97%（F-1评分）。它可能是一个实用的工具，为临床医生和特殊教师使用在诊断儿童多动症。
This paper presents a novel approach to screening children with ADHD, one of the most prevalent childhood disorders. We have designed the robot-assisted, game-like test that directly reflects children's behavior on measuring ADHD symptoms. Using the sensors in the robot system, most of the children's behavior is automatically measured during the entire course of the test. We collected real data by carrying out tests to 326 children from 3rd to 4th grades in the field. A unified frame that classifies multiple categories of ADHD, ADHD-at-Risk and normal has been set up to investigate a wide spectrum of classifiers and their optimal hyper-parameters. The results of the data analysis show highly confident ADHD classification, up to 97% (F-1 score). It could be a practical tool for clinicians and special teachers to use in the diagnosis of childhood ADHD.