Validation of the Algorithm for Bio-signal Data in Home-health Management Systems

So-mi Park, M. Park, Hyun Kim, O. Kim, Y. Yoon, S. Hwang
{"title":"Validation of the Algorithm for Bio-signal Data in Home-health Management Systems","authors":"So-mi Park, M. Park, Hyun Kim, O. Kim, Y. Yoon, S. Hwang","doi":"10.4258/JKSMI.2009.15.1.109","DOIUrl":null,"url":null,"abstract":"Objective: The purpose of this study was to verify the algorithm on bio-signals for a home-health management system. Methods : A methodological study was done to verify the blood pressure and blood sugar algorithm to deliver tailored patient information. The verifying process was as follows: Step 1; development of the algorithm through a literature review, Step 2; programming the algorithm using Microsoft SQL Server 2005 and Visual Studio 2005, Step 3; Reviewing of the algorithm by examining results from the home-health management system and experts' evaluation Step 4; evaluating the agreement of the algorithm by comparison between results from the home-health management system and intended results using bio-signal data set, and completion of the algorithm. Results: Discordance rate between results from the home-health management system and intended results for blood pressure and blood sugar were 5.72% and 2.04%, respectively. Also, discordance rate between results from the home-health management system and experts' evaluation of blood pressure and blood sugar were 30.38% and 20.41%, respectively. All discordance were revised until all the researchers reached agreement. Conclusion : The home-health management system with an accurate algorithm on bio-signals can contribute to promote clients' health and reduce the cost of medical services. (Journal of Korean Society of Medical Informatics 15-1, 109-116, 2009)","PeriodicalId":255087,"journal":{"name":"Journal of Korean Society of Medical Informatics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Korean Society of Medical Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4258/JKSMI.2009.15.1.109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: The purpose of this study was to verify the algorithm on bio-signals for a home-health management system. Methods : A methodological study was done to verify the blood pressure and blood sugar algorithm to deliver tailored patient information. The verifying process was as follows: Step 1; development of the algorithm through a literature review, Step 2; programming the algorithm using Microsoft SQL Server 2005 and Visual Studio 2005, Step 3; Reviewing of the algorithm by examining results from the home-health management system and experts' evaluation Step 4; evaluating the agreement of the algorithm by comparison between results from the home-health management system and intended results using bio-signal data set, and completion of the algorithm. Results: Discordance rate between results from the home-health management system and intended results for blood pressure and blood sugar were 5.72% and 2.04%, respectively. Also, discordance rate between results from the home-health management system and experts' evaluation of blood pressure and blood sugar were 30.38% and 20.41%, respectively. All discordance were revised until all the researchers reached agreement. Conclusion : The home-health management system with an accurate algorithm on bio-signals can contribute to promote clients' health and reduce the cost of medical services. (Journal of Korean Society of Medical Informatics 15-1, 109-116, 2009)
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
家庭健康管理系统中生物信号数据算法的验证
目的:验证生物信号算法在家庭健康管理系统中的应用。方法:进行方法学研究,验证血压和血糖算法提供量身定制的患者信息。验证过程如下:步骤1;通过文献综述对算法进行开发;第三步,使用Microsoft SQL Server 2005和Visual Studio 2005对算法进行编程;通过检查家庭健康管理系统的结果和专家评估对算法进行审查;通过比较家庭健康管理系统的结果与生物信号数据集的预期结果,评估算法的一致性,并完成算法。结果:家庭健康管理系统的血压、血糖结果与预期结果的不一致性率分别为5.72%和2.04%。家庭健康管理系统结果与专家评估的血压和血糖不一致率分别为30.38%和20.41%。所有不一致的地方都要修改,直到所有研究人员达成一致。结论:基于生物信号精确算法的家庭健康管理系统有助于促进患者健康,降低医疗服务成本。(韩国医学信息学会杂志15- 1,109 -116,2009)
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
Assessing the Quality of Structured Data Entry for the Secondary Use of Electronic Medical Records A Korean Version of the WHO International Classification for Patient Safety: A Validity Study Development and Validation of Archetypes for Nursing Problems in Breast Cancer Patients Comparison of Physicians' and Patients' Perception on the Effect of Internet Health Information Practical Guide to Clinical Data Management by Susanne Prokscha, 2007
×
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