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用于临床激励螺旋计的数据捕获设备的开发和测试:测试和可用性研究

Michael L Burns¹, Anik Sinha¹, Alexander Hoffmann¹

¹Department of Anesthesiology, University of Michigan Health System, Ann Arbor, MI, United States.

JMIR biomedical engineering

|June 14, 2024

概括

一个新的附加设备捕获激励螺旋仪数据,使得更好的研究和临床使用. 这项技术提高了对设备有效性和患者遵守预防呼吸道并发症的理解.

科学领域:

生物医学工程生物医学工程
医疗器械技术医疗器械技术
数字健康数字健康

背景情况:

激励螺旋仪是常见的医疗设备,缺乏电子数据收集能力.
有限的数据阻碍了关于最佳使用的共识,以及预防术后呼吸道并发症等益处的证据.

研究的目的:

开发和测试一种附加硬件设备,用于从激励螺旋计中实时捕获数据.
能够收集以前无法获得的临床数据,用于研究和改善患者护理.

主要方法:

设计和制造了一种使用反射光学传感器来跟踪螺旋计活塞和线的附加设备.
校准了传感器,并开发了一个呼吸分类算法以获得准确性.
测试了设备作为视频游戏控制器的实时功能.

主要成果:

实现99-100%的精度在传感器位置检测体积和流量.
与目标体积和流量率有很高的相关性.
呼吸分类算法显示100%的灵敏度和99%的特异性;实时操作是无的.

结论:

为激励螺旋计开发了一种有效的,可重复使用的附加设备,可以收集数据并展示物联网 (IoT) 的潜力.
高传感器准确度和实时数据功能显示出捕获关键临床数据的前景.
使用该设备的进一步研究可以提高激励螺旋计的采用,坚持和临床有效性.

关键词:

物联网 - 物联网的互联网.算法算法是一种算法.数据分析数据分析数据分析数据收集数据收集数据收集有效性有效性.电子健康记录是电子健康记录.一个激励的激励.激励激励的螺旋仪.医疗器械医疗器械是一种医疗器械.医疗工具是一种医疗工具.螺旋测量是一种螺旋测量.螺旋计数据的数据.基于网络的干预.

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