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无创技术监测石膏下的压力:一种适用于移动应用的蓝牙压力传感器。

Noninvasive Technique to Monitor the Pressure under a Cast: A Mobile Application-Friendly Bluetooth Pressure Sensor.

机构信息

Şişli Memorial Hospital, Piyalepaşa Blv. 34385, Şişli, İstanbul, Turkey.

Yale University, Department of Orthopaedic and Rehabilitation, New Haven 06510, CT, USA.

出版信息

Int J Clin Pract. 2022 Oct 31;2022:9093612. doi: 10.1155/2022/9093612. eCollection 2022.

Abstract

AIM

The purpose of this study was to design a sensor that could monitor the skin-cast contact surface pressure (SCCSP) of a limb under a cast and inform the user via a mobile application when the pressure increases.

METHODS

In this experimental study, an infant sphygmomanometer cuff was initially placed on the forearm of 10 volunteers. A pressure sensor with a Bluetooth chip was then placed on the volar aspect of the forearm. Short arm plaster was applied with synthetic cast material. The SCCSP under the plaster was measured by the sensor and the measured values were transmitted to a mobile application via a Bluetooth chip. The mobile application processed the data from the chip and converted it to mmHg.

RESULTS

Intracompartmental pressure (ICP) values were categorized as 0, 10, 20, 30, 40, 50, 60, and 75 mmHg. The highest SCCSP was 75 mmHg CP, while the lowest was 0 mmHg CP. The correlation coefficient of the mean pressure values was 0.993 ( ≤ 0.001) (SD 0.002, range 0.989-0.997), and there was a significant relationship between ICP and SCCSP values ( ≤ 0.05).

CONCLUSION

We can monitor SCCSP, detect limb swelling, and notify the user via a mobile application by using Bluetooth pressure sensors.

摘要

目的

本研究旨在设计一种传感器,可监测到肢体石膏下的皮肤接触表面压力(SCCSP),并通过移动应用程序在压力增加时向用户发出警报。

方法

在这项实验研究中,最初将婴儿血压计袖带放置在 10 名志愿者的前臂上。然后将带有蓝牙芯片的压力传感器放置在前臂的掌侧。使用合成石膏材料施加短臂石膏。传感器测量石膏下的 SCCSP,并通过蓝牙芯片将测量值传输到移动应用程序。移动应用程序处理来自芯片的数据并将其转换为 mmHg。

结果

节内压(ICP)值分为 0、10、20、30、40、50、60 和 75mmHg。最高 SCCSP 为 75mmHg CP,最低为 0mmHg CP。平均压力值的相关系数为 0.993(≤0.001)(SD 0.002,范围 0.989-0.997),ICP 和 SCCSP 值之间存在显著关系(≤0.05)。

结论

我们可以通过使用蓝牙压力传感器来监测 SCCSP、检测肢体肿胀,并通过移动应用程序通知用户。

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