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移动医疗 6 分钟步行试验 - 检测心力衰竭患者临床相关差异的准确性。

mHealth 6-minute walk test - accuracy for detecting clinically relevant differences in heart failure patients.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:7095-7098. doi: 10.1109/EMBC46164.2021.9630118.

Abstract

Heart failure is a serious disease which increases mortality as well as hospital admission rates for affected patients. Disease management programs supported by telehealth solutions are cost-effective approaches for reducing all-cause mortality and heart failure hospitalizations. A 6-minute walk test (6MWT) app could help heart failure patients to self-monitor their functional capacity. We have developed such an application capable of tracking the geolocation, guiding users through a 6MWT and providing the walked distance after six minutes. Besides common global navigation satellite system (GNSS) filtering methods like a Kalman filter, we have investigated the impact of positioning the device (tablet) and GNSS reception on the accuracy of the test. In a field experiment, we gathered 166 6MWT recordings with the developed mobile application. Applying the Kalman filter reduced the overall relative error from 35.5 % to 3.7 %. Wearing the tablet on the body led to significantly better results than holding it in the hand (p < .001). The average accuracy of 2.2 % of body-worn measurements was below previously defined thresholds for reliable results. It thus allows to define a procedure on how to perform and integrate an accurate 6MWT in telehealth settings for clinical decision support in heart failure patients.

摘要

心力衰竭是一种严重的疾病,会增加死亡率和心力衰竭患者的住院率。由远程医疗解决方案支持的疾病管理计划是降低全因死亡率和心力衰竭住院率的具有成本效益的方法。6 分钟步行测试(6MWT)应用程序可以帮助心力衰竭患者自我监测其功能能力。我们已经开发了这样一种应用程序,能够跟踪地理位置,指导用户完成 6MWT 并在六分钟后提供走过的距离。除了常见的全球导航卫星系统(GNSS)滤波方法(如卡尔曼滤波)外,我们还研究了设备(平板电脑)和 GNSS 接收的定位对测试精度的影响。在现场实验中,我们使用开发的移动应用程序收集了 166 次 6MWT 记录。应用卡尔曼滤波将整体相对误差从 35.5%降低到 3.7%。将平板电脑佩戴在身上比手持平板电脑的效果要好得多(p<0.001)。身体佩戴测量的平均精度为 2.2%,低于先前定义的可靠结果阈值。因此,可以定义一种如何在远程医疗环境中执行和整合准确的 6MWT 的程序,以支持心力衰竭患者的临床决策。

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