Intelligent alarms for patient supervision

A. Otero, P. Félix, F. Palacios, C. Pérez-Gandía, C. Sorzano
{"title":"Intelligent alarms for patient supervision","authors":"A. Otero, P. Félix, F. Palacios, C. Pérez-Gandía, C. Sorzano","doi":"10.1109/WISP.2007.4447555","DOIUrl":null,"url":null,"abstract":"This work presents a proposal for creating intelligent alarms that offer more efficient support to medical staff than the threshold alarms currently available in commercial monitors. Our alarms make it possible to handle the uncertainty and imprecision that are characteristic of the medical domain, reason over the temporal evolution of physiological variables, and incorporate information from a number of variables into one single alarm. The proposal is based on a structural pattern recognition model (the MFTP model) which allows certain monitoring criteria in a computational representation to be captured and identified over the evolution of patients' physiological variables. The description of the criteria is carried out using a graphical tool (TRACE), which is sufficiently intuitive to be used by physicians without the need for assistance.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE International Symposium on Intelligent Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISP.2007.4447555","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

Abstract

This work presents a proposal for creating intelligent alarms that offer more efficient support to medical staff than the threshold alarms currently available in commercial monitors. Our alarms make it possible to handle the uncertainty and imprecision that are characteristic of the medical domain, reason over the temporal evolution of physiological variables, and incorporate information from a number of variables into one single alarm. The proposal is based on a structural pattern recognition model (the MFTP model) which allows certain monitoring criteria in a computational representation to be captured and identified over the evolution of patients' physiological variables. The description of the criteria is carried out using a graphical tool (TRACE), which is sufficiently intuitive to be used by physicians without the need for assistance.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
智能报警,监护患者
这项工作提出了一种创建智能警报的建议,该警报为医务人员提供比目前商用监视器中可用的阈值警报更有效的支持。我们的警报可以处理医学领域的不确定性和不精确性,对生理变量的时间演变进行推理,并将来自多个变量的信息整合到一个警报中。该建议基于结构模式识别模型(MFTP模型),该模型允许在计算表示中捕获和识别患者生理变量的演变中的某些监测标准。使用图形工具(TRACE)对标准进行描述,该工具足够直观,医生无需帮助即可使用。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Recent Developments in All-Optical Nonlinear Signal Processing for Fiber-Optic Communications Robust Ultrasonic Spread-Spectrum Positioning System using a AoA/ToA Method Distributed perception for a group of legged robots Advanced Multisensorial Barrier for Obstacle Detection Visual Model Feature Tracking For UAV Control
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1