METHOD OF PREDICTING URINARY VOLUME BY UTILIZING THE ABSORPTION SPECTRUM OF URINE
METHOD OF PREDICTING URINARY VOLUME BY UTILIZING THE ABSORPTION SPECTRUM OF URINE
复制标题
利用尿液吸收光谱预测尿量的方法
DOI：
10.20472/iac.2019.049.019
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Y. Kurihara
中科院分区：
文献类型：
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作者：
Taku Hirota;T. Yamasaki;T. Kaburagi;T. Matsumoto;S. Kumagai;Y. Kurihara
摘要尿失禁是护理高龄病患时所遇到的严重问题之一。在临床情况下，护理人员使用超声波传感器监测膀胱中累积的尿量，以便他们可以在尿失禁之前将老年患者带到厕所。然而，如果护理者在检查累积尿量时被延迟，患者可能会经历尿失禁。在制定排泄管理的护理计划时，护理人员可能会发现，如果他们能预测排尿后立即在膀胱中累积的尿量，这是有用的。因此，在本研究中，我们提出了一种基于尿液累积模型和尿液吸收光谱的预测方法。尿积聚模型包含三个参数：排尿后尿液开始积聚的时间;膀胱中可积聚的尿液量;以及尿液积聚的时间常数。因此，如果这些参数可以在排尿后立即确定，则可以使用该模型预测累积尿量。为了确定这三个参数的值，我们使用尿液的吸收光谱，作为解释变量，在岭回归技术。这三个参数的值（作为岭回归中的目标变量）从超声波传感器的输出信号中使用内点法获得。为了评估所提出的方法，我们进行了有效性实验，在他的20多岁的男性受试者。将超声波传感器连接到受试者以测量膀胱中的累积尿量。要求受试者在测量期间休息。尿标本采用超声波传感器采集者占24.14%。这一结果表明，所提出的方法可能是有用的预测膀胱中的累积尿量。
: Urinary incontinence is one of the serious problems encountered while providing nursing care to older patients. In clinical situations, caregivers use ultrasonic sensors for monitoring accumulated urinary volume in the bladder so that they can take older patients to the toilet before urinary incontinence. However, if the caregiver is delayed in checking the accumulated urinary volume, the patient may experience urinary incontinence. While making nursing schedules for excretion management, caregivers may find it useful if they could predict the accumulated urinary volume in the bladder immediately after urination. Hence, in this study, we propose a prediction method based on the urinary accumulation model and absorption spectrum of urine. The urinary accumulation model contains three parameters: the time when urine starts to accumulate after urination; the amount of urine that can be accumulated in the bladder; and the time constant of urine accumulation. Thus, if these parameters can be determined immediately after urination, the accumulated urinary volume can be predicted using this model. To determine the values of these three parameters, we used the absorption spectrum of urine, as an explanatory variable, in the ridge regression technique. The values of the three parameters (as objective variables in the ridge regression) were obtained from output signals of the ultrasonic sensor using the internal point method. To evaluate the proposed method, we performed a validity experiment with a male subject in his 20s. The ultrasonic sensor was attached to subjects to measure accumulated urinary volume in the bladder. The subject was asked to rest during measurement. Urine samples were collected ultrasonic sensor was 24.14%. This result indicates that the proposed method may be useful for predicting the accumulated urinary volume in the bladder.