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Feasibility of a Secure Wireless Sensing Smartwatch Application for the Self-Management of Pediatric Asthma

机译:安全的无线传感智能手表应用程序在小儿哮喘自我管理中的可行性

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摘要

To address the need for asthma self-management in pediatrics, the authors present the feasibility of a mobile health (mHealth) platform built on their prior work in an asthmatic adult and child. Real-time asthma attack risk was assessed through physiological and environmental sensors. Data were sent to a cloud via a smartwatch application (app) using Health Insurance Portability and Accountability Act (HIPAA)-compliant cryptography and combined with online source data. A risk level (high, medium or low) was determined using a random forest classifier and then sent to the app to be visualized as animated dragon graphics for easy interpretation by children. The feasibility of the system was first tested on an adult with moderate asthma, then usability was examined on a child with mild asthma over several weeks. It was found during feasibility testing that the system is able to assess asthma risk with 80.10 ± 14.13% accuracy. During usability testing, it was able to continuously collect sensor data, and the child was able to wear, easily understand and enjoy the use of the system. If tested in more individuals, this system may lead to an effective self-management program that can reduce hospitalization in those who suffer from asthma.
机译:为了解决儿科对哮喘自我管理的需求,作者提出了基于他们先前在哮喘成人和儿童中工作而建立的移动健康(mHealth)平台的可行性。通过生理和环境传感器评估了哮喘的实时发作风险。数据使用符合《健康保险可移植性和责任法案》(HIPAA)的密码,通过智能手表应用程序(app)发送到云,并与在线源数据结合在一起。使用随机森林分类器确定了风险级别(高,中或低),然后将其发送到应用程序以可视化为动画龙图形,以方便儿童理解。该系统的可行性首先在患有中度哮喘的成人身上进行了测试,然后在数周内对患有轻度哮喘的孩子进行了可用性检查。在可行性测试期间发现,该系统能够以80.10±14.13%的准确性评估哮喘风险。在可用性测试过程中,它能够连续收集传感器数据,并且孩子能够穿戴,轻松理解并享受该系统的使用。如果在更多个人中进行测试,则该系统可能会导致有效的自我管理计划,从而减少哮喘患者的住院治疗。

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