A Monitoring Device for Urine Volume and Turbidity using Continuity Flow and Beer- Lambert’s Law for Post-Operative Patients

M. V. Padilla, F. Cruz
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引用次数: 1

Abstract

The amount and quality of urine are two of the most closely monitored signs to establish the condition of patients who undergo surgical operations. However, with the conventional way of measuring the volume and quality of the urine, loss of time and human error cannot be prevented. The study aimed to automatically measure the volume based on flow rate and the turbidity of the urine of the post-operative patients. This study focused on measuring the volume and turbidity of the urine through Continuity Flow principle using an infrared sensor and Beer-Lambert’s law using photodetector sensors, respectively. The urinary bladder system model was designed and constructed in order to demonstrate a urine discharge and test the functionality of the measuring devices. Through a mobile application, the medical staff can monitor the results of these measurements. The gathered data for volume using the device was compared to the actual measurements using a graduated cylinder. The tests revealed that actual volume is always more than the measured volume with an average flowrate of 18.1575 mL/s and an accuracy of 95.5%. Measurements on turbidity compared to the conventional way of testing the physical parameters of urine in urinalysis yielded a satisfactory testing result based on the voltage ranges resulted from Decision Tree Classifier. Furthermore, through the series of experiments conducted in the assessment of the prototype developed, the expected value compared to the actual values showed that the device output has no significant difference with the expected output.
用连续流法和Beer- Lambert定律监测术后患者尿量和浊度的装置
尿液的数量和质量是确定接受外科手术的患者病情的两个最密切监测的迹象。然而,用传统的方法测量尿液的体积和质量,时间的损失和人为的错误是无法避免的。本研究旨在根据术后患者尿液的流速和浊度自动测量尿量。本研究的重点是利用红外传感器通过连续流动原理测量尿液的体积和浊度,利用光电探测器传感器使用Beer-Lambert定律测量尿液的体积和浊度。设计并构建了膀胱系统模型,以演示尿液排出并测试测量装置的功能。通过移动应用程序,医务人员可以监控这些测量的结果。使用该装置收集的体积数据与使用刻度圆柱体的实际测量结果进行了比较。试验结果表明,实际体积始终大于测量体积,平均流量为18.1575 mL/s,准确度为95.5%。基于决策树分类器的电压范围,将浊度测量与传统的尿液物理参数测试方法进行了比较,得到了令人满意的测试结果。此外,通过对所研制样机进行评估时进行的一系列实验,期望值与实际值的对比表明,设备输出与期望输出无显著差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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