BEAT:生物环境安卓追踪

Michael Mitchell, Frank Sposaro, Annie Wang, Gary S. Tyson
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引用次数: 18

摘要

我们介绍了BEAT(生物环境安卓跟踪),它提供了使用现成的无线设备和生物和环境传感器收集、处理和归档日常生命和时空统计数据的方法。BEAT可以在移动设备上以独立的方式运行,并实时分析重要信息。它使用心跳方差和范围阈值等统计信息来发出警报。警报以分层方式传播,以便最终用户和他/她的社会联系人有机会在联系医疗专业人员之前检测到虚假警报。BEAT建立在开放的Android平台上,以支持各种类型的移动设备。通过加入额外的生物传感器数据,如血压、血糖和体重,该框架可以扩展到一个成熟的个人健康监测系统。
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BEAT: Bio-Environmental Android Tracking
We introduce BEAT (Bio-Environmental Android Tracking), which provides methods for collecting, processing, and archiving one's daily vital and spatiotemporal statistics using off-the-shelf wireless devices and biologic and environmental sensors. BEAT can operate in a self-contained manner on a mobile device and analyze vital information in real time. It uses statistics such as heartbeat variance and range thresholds to issue alerts. Alerts are propagated in a tiered fashion, so that the end user and his/her social contacts have a chance to detect false alerts before contacting medical professionals. BEAT is built on the open Android platform to support a diverse class of mobile devices. The framework can be extended to a full-fledged personal health monitoring system by incorporating additional biosensor data such as blood pressure, glucose, and weight.
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