一个mHealth系统的验证,用于监测临床环境中的基本生理参数
Filipe Martins1, Elsa Fragoso2,3, Hugo Plácido da Silva4,5,6
1Instituto Superior Técnico, University of Lisbon, 1049-001 Lisbon, Portugal.
Sensors (Basel, Switzerland)
|August 29, 2024
概括
电子-CoVig mHealth应用程序有效验证体温,心率和外周氧和度的测量. 这项研究证实了它与用于远程监测患者的标准临床设备相比的可靠性.
科学领域:
- 生物医学工程 生物医学工程
- 医疗信息学 医疗信息学
- 临床监测 临床监测
背景情况:
- 远程监测生理参数对于现代医疗保健至关重要.
- 现有的mHealth解决方案需要与已建立的临床设备进行验证.
- 在AIM健康项目中,开发了e-CoVig应用程序,用于实验室外的生命体征监测.
研究的目的:
- 为了验证e-CoVig mHealth应用程序在测量体温,心率和外周氧和度方面的准确性.
- 将e-CoVig设备的测量结果与标准临床设备的测量结果进行比较.
- 评估协议并确定e-CoVig设备读数中的潜在偏差.
主要方法:
- 从使用e-CoVig和标准设备的重症监护病房患者中收集了体温,心率和外周氧和的对测量结果.
- 采用了经典的协议分析,包括林的一致系数和布兰德-阿尔特曼图表.
- 调查并纠正系统错误,特别是添加错误和弱比例偏差.
主要成果:
- 确定了e-CoVig设备和参考设备之间所有三个重要参数的平均总体一致性.
- 识别并纠正了添加错误,表明测量中的系统偏移.
- 量化了弱比例偏差,表明测量大小对准确性的影响最小.
结论:
- 电子-CoVig mHealth应用程序在捕获关键生理参数方面表现出可靠的性能.
- 验证研究支持使用e-CoVig进行实验室外监测,弥合临床和远程环境之间的差距.
- 使用先进的方法进行了强有力的评估,尽管存在一些局限性,但提出了进一步评估的建议.
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Direct Method
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