Development of Mobile Application for Assessment of Basic Echocardiographic Parameters in Apparently Healthy Population.

Irina V Pospelova, Dmitry S Bragin, Irina V Cherepanova, Victoriya N Serebryakova, Alexander A Sokolov, Vladimir S Kaveshnikov
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Abstract

Background: Development of tools, making for easier assessment of the age- and body size-specific echocardiographic parameters in the general population, becomes increasingly important. Materials and Methods: The application was developed on the basis of the previously designed model of normal values for basic echocardiographic parameters. The source population for the normal values was 10,604 apparently healthy people aged from 1 day to 65 years old, in which optimal visualization of the heart in the parasternal and apical echocardiographic views could be obtained. The whole population surveyed was categorized into three age groups. The predicted parameters were calculated by the group-specific regression equations. Deviation from the norm for one or another echocardiographic parameter was determined based on the value of z-score. Results: The mobile application was designed for the medical community and allows for a selective assessment of basic echocardiographic parameters in apparently healthy people with high accuracy. The application has a friendly graphical interface and provides color output on display of the results obtained. Discussion: The value of this application is in its uniqueness, since having analyzed available scientific works on mobile applications in medicine we could hardly find similar developments. Conclusions: Using the mobile application can save a doctor's time by simplifying the process of entering initial data, automating calculations, and providing convenient displaying of results. From this perspective, the application developed can become a useful tool in the sphere of telemedicine, in particular-the mobile medicine for remote consultation of patients.

表面健康人群超声心动图基本参数评估移动应用程序的开发。
背景:工具的发展,使得更容易评估年龄和体型的超声心动图参数在一般人群中,变得越来越重要。材料与方法:该应用程序是在先前设计的超声心动图基本参数正常值模型的基础上开发的。正常值的源人群为10604名年龄在1天至65岁的明显健康人群,在胸骨旁和心尖超声心动图上可以获得最佳的心脏显示。被调查的全部人口被分为三个年龄组。通过分组回归方程计算预测参数。根据z-score值确定一个或另一个超声心动图参数与规范的偏差。结果:该移动应用程序是为医疗界设计的,允许对表面健康人群的基本超声心动图参数进行选择性评估,准确性高。该应用程序具有友好的图形界面,并提供彩色输出显示所获得的结果。讨论:这个应用程序的价值在于它的独特性,因为在分析了医学移动应用程序的现有科学作品后,我们几乎找不到类似的发展。结论:使用移动应用程序简化了输入初始数据、自动计算和方便显示结果的过程,节省了医生的时间。从这个角度来看,所开发的应用程序可以成为远程医疗领域的有用工具,特别是用于患者远程会诊的移动医疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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