BEAT: Bio-Environmental Android Tracking

Michael Mitchell, Frank Sposaro, Annie Wang, Gary S. Tyson
{"title":"BEAT: Bio-Environmental Android Tracking","authors":"Michael Mitchell, Frank Sposaro, Annie Wang, Gary S. Tyson","doi":"10.1109/RWS.2011.5725489","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":250672,"journal":{"name":"2011 IEEE Radio and Wireless Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE Radio and Wireless Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RWS.2011.5725489","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18

Abstract

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.
BEAT:生物环境安卓追踪
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信