一个基于云的解决自闭症个体重复行为的新框架

B. Alhalabi, Harshal A. Sanghvi, Riki H. Patel, A. Pandya, Elisa Cruz Torres
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引用次数: 2

摘要

自闭症是美国儿童面临的巨大挑战之一。根据调查,研究表明,在美国每88个年轻人中就有一个患有某种类型的自闭症。根据2008年的调查,来自疾病控制中心的信息显示,与2006年相比增加了26%,与2002年相比增加了71%。行为观察被用来诊断自闭症谱系障碍(ASD)。设计一种数据驱动的ASD筛查诊断技术。分析自闭症患者的行为模式非常重要。技术解决方案在自动检测模式方面发挥了巨大的作用,比如自闭症儿童的Spike。在本文中,我们提出了一种利用遥感网络的生物医学创新。需要测量的主要行为变化是自闭症儿童的重复动作。这篇论文描述了一个框架,它将帮助自闭症儿童的医生和看护人跟踪他们的活动,并在有不寻常的动作时给他们实时的反馈。本研究的主要目的是帮助自闭症患者摆脱社会挑战,在各行各业与正常人竞争。建议的框架需要临床医生分析数据并实时给出报告。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Cloud Based Novel Framework for Addressing Repetitive Behavior in Autistic Individuals
Autism is one of the large-scale challenges amongst the kids in United States. According to the survey, Research shows that one out of each 88 youngsters in the United States has some type of ASD. In the view of survey in 2008, information from the Center of the Disease Control shows a 26 percent increase as compared to 2006 and a 71 percent increase as compared to 2002. Behavioral observations are used to diagnose autism spectrum disorder (ASD). To design a data-driven screening and diagnostic technique for ASD. Analyzing the behavioral patterns in the autistic patients is extremely important. Technological solutions play a huge role in automatically detecting patterns such as Spike in the Autistic kids. In this paper, we propose a Bio-Medical Innovation utilizing remote sensor networks. The major behavioral change which needs to be measured is repetitive motion in the Autistic kids. The paper portrays the framework which will assist the physicians and caretakers of the autistic kids to keep a track of the activities and give them feedback on real time when there is an unusual movement. The major objective of the research is to help the patients with autism to get out of social challenges and compete with the normal people in all occupations. The proposed framework is required to analyze the data by the clinicians and give the reports on real time basis.
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