用于子痫前期初步诊断的便携式、非侵入性和无线设备的概念验证

M. Pc, Tripti S. Warrier, Nalesh S
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摘要

妊娠高血压疾病(HDPs)是影响全球孕产妇死亡率的主要因素之一,早期诊断可显著降低孕产妇和胎儿死亡率。子痫前期通常发生在妊娠晚期,早期诊断对母婴健康至关重要。目前的做法是使用血压测量来识别有高血压疾病风险的孕妇,并使用血液和尿液分析来进一步确定先兆子痫的可能性。然而,印度农村缺乏足够的实验室设施是诊断和管理先兆子痫妇女的主要瓶颈。拟议的解决方案通过开发一种装置来解决这一问题,该装置可测量与子痫前期妇女初步筛查相关的所有相关生物物理和生化参数,并可由半熟练的卫生工作者操作。在Arduino UNO平台开发的初始原型模型中,我们提出了一种便携式无线设备,用于hdp的早期诊断,通过使用振荡法监测血压水平,使用条带电化学传感器测量肌酐和尿酸水平,使用荧光生物传感器测量白蛋白含量。此外,还提出了一种通过测量sFLT-1/PIGF比值来早期检测子痫前期的全新方法。在这项工作中,我们提出了一个概念验证模型,作为一个单一的设备来集成三种不同的传感技术,其中生物标志物的电化学传感和荧光传感技术通过血糖水平测量和适当的校准进行实验验证。
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A Proof-of-concept Portable, Non-invasive, and Wireless device for the Preliminary Diagnosis of Preeclampsia
The Hypertensive Disorders of Pregnancy (HDPs) are one of the main factors affecting maternal mortality globally and early diagnosis can lead to a significant reduction in maternal and fetal mortality. Preeclampsia typically occurs in the third trimester and early diagnosis is essential for maternal and fetal health. The current practice is to use blood pressure measurements to identify pregnant women with the risk of hypertensive disorders and use blood and urine analysis to further identify the possibility of preeclampsia. However, the shortage of adequate laboratory facilities in rural India is a major bottleneck in the diagnosis and management of pre-eclamptic women. The proposed solution addresses this problem by developing a device that measures all relevant biophysical and biochemical parameters relevant for preliminary screening of women with preeclampsia and which can be operated by semiskilled health workers. In the initial prototype model developed in the Arduino UNO platform, we propose a portable, and wireless device for the early diagnosis of HDPs by monitoring the blood pressure levels using the oscillometric method, measuring the creatinine and uric acid levels using a strip-based electrochemical sensor, measuring the albumin content using a fluorescence-based biosensor. A completely novel method for early detection of preeclampsia by measuring the sFLT-1/PIGF ratio also proposed. In this work, we are coming up with a proof-of-concept model as a single device to integrate the three different sensing techniques in which the electrochemical sensing and fluorescence sensing techniques of biomarkers are experimentally proved using blood glucose level measurement followed by appropriate calibration.
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