家庭健康管理系统中生物信号数据算法的验证

So-mi Park, M. Park, Hyun Kim, O. Kim, Y. Yoon, S. Hwang
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引用次数: 0

摘要

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