收集和分析来自Neurogame移动应用程序的数据的Web平台。

Sofija Loleska, Nada Pop-Jordanova
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引用次数: 0

摘要

今天的手机现在是智能手机,提供了广泛的使用可能性,而不仅仅是简单的手机。这款针对Android操作系统的定制应用基于移动设备的开源平台,旨在测试不同年龄段儿童的认知功能:注意力、注意力和精细运动技能。针对移动设备和web平台开发的Neurogame应用程序用于检索和分析移动应用程序数据,为受访者的执行功能提供相关指标。材料与方法:研究对象为50名发育障碍多动症和阅读障碍儿童(研究组)和50名健康儿童(对照组),随机选择,性别、年龄均匀。使用该应用程序,我们确定注意力,集中和运动技能(反应速度)作为受访者执行功能的一部分。web平台的目的是收集和处理来自移动应用程序的数据,以及它们的自动可视化表示。结果:经方差分析,各研究组间无性别差异。统计相关分析表明,年龄对健康学龄儿童的结果没有影响。在患有阅读障碍的儿童中,年龄对总击中数有积极影响,对总未击中数有消极影响。在ADHD儿童中,除总命中数(t H)外,其他变量均与年龄呈正相关。学生t检验显示,健康学龄儿童和阅读障碍儿童的总命中数(t H)和总反应时间(t H)以毫秒为单位存在显著差异。此外,学生t检验显示,健康学龄儿童和ADHD儿童在变量的总尝试数(t t)和总命中数(t H)上存在显著差异。最后,学生t检验显示,阅读障碍儿童和ADHD儿童在变量总尝试数(t t)上存在显著差异。多元回归结果显示,健康学龄儿童、ADHD儿童和阅读障碍儿童在所有变量(总尝试次数(t t)、总命中次数(t H)、总失误次数(t M)和总反应时间(t H))上均存在显著差异。结论:Neurogame应用程序提供了一个评估运动技能和注意力水平的机会,以及通过测量总尝试次数、总命中次数、总失败次数和以毫秒为单位的反应时间(定义为监测变量)来衡量目标人群的注意力。网络平台的开发和与应用程序的连接使利益相关者(家长、教师、治疗师或卫生专业人员)能够更容易地访问和分发分析结果,以便进一步治疗已确定的病症。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Web Platform for Gathering and Analyzing Data from the Neurogame Mobile Application.

Today's cell phones are now smartphones, providing a wide range of possibilities for their use, much more than just simple phones. The custom application for the Android operating system, based on an open-source platform for mobile devices is intended for the examination of cognitive functions: attention, concentration and fine motor skills in children of different age groups. The Neurogame application for mobile devices and web platform development is used for retrieving and analyzing mobile application data, providing relevant indicators for the executive functions of the respondents. Material and methods: The research included 50 children with the developmental disorders ADHD and dyslexia (study group) and 50 healthy children (control group), randomly selected, evenly represented by gender and age. Using the application, we determine attention, concentration and motor skills (reaction speed) as part of the executive functions of the respondents. The web platform has the purpose of gathering and processing the data from the mobile application, as well as their automatic visual representation. Results: The ANOVA test showed that there are no gender differences in all the studied groups. A statistical correlation analysis showed that age does not affect the results in healthy school children. In children with dyslexia, age affects positively for total hits and negatively for total misses. In children with ADHD, there is a positive correlation with age for all variables except total hits (t H). Student's T-test showed that there were significant differences for the variables' total hits (t H) and total reaction time (t h) in milliseconds between healthy school children and children with dyslexia. Additionally, Student's t-test indicated that there were significant differences for the variables' total tries (t T) and total hits (t H) between healthy school children and children with ADHD. Finally, Student's t-test indicated that there were significant differences for the variable total tries (t T) between children with dyslexia and children with ADHD. Multiple Regression Results showed a significant difference between healthy school children, children with ADHD and children with dyslexia for all variables (total tries (t T), total hits (t H), total misses (t M) and total reaction time in milliseconds (t h)). Conclusion: The Neurogame application provides a opportunity to assess the motor skills and concentration level, as well as the focus of the target population by measuring the total number of tries, the total number of hits, the total number of misses and the reaction time expressed in milliseconds which are defined as monitoring variables. The development of the web platform and the connection to the application enabled easier access and distribution of the analyzed results to the stakeholders (parents, teachers, therapists or health professionals) in order to further treat the ascertained condition.

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