Estimating flow rate and total volume of simulated urine flow noninvasively from a monocular camera
Estimating flow rate and total volume of simulated urine flow noninvasively from a monocular camera
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从单目相机无创地估计模拟尿流的流速和总量
DOI：
10.1109/embc.2015.7318471
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
K. Oguri
中科院分区：
文献类型：
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作者：
Atsushi Isomura;Md. Shoaib Bhuiyan;H. Kawanaka;Eiichi Watanabe;K. Oguri
尿流动力学测量工具在实际使用中存在医院感染和侵袭性风险。本研究提出了一种新的尿流量估算方法。我们提出了多圆柱模型来估计单目摄像机拍摄的图像中的液体体积。该模型基于计算从每幅图像中提取的圆柱体的总体积的思想。首先，对模拟男性排尿的液体图像进行二值化，以获得模型的特征。根据每幅图像中液体的初始速度和直径计算出每个圆柱体的体积。通过将我们估计的体积和流量与实际使用中的尿流量计获得的数据进行比较，对该模型进行了实验评估。结果表明，估计的精度在±10%以内，这足以满足日本医院实际使用的尿流量计的精度。
Urodynamics measurement tools in practical use carry the risk of nosocomial infection and invasiveness. Our study proposes a new method for urinary flow estimation. We propose multiple cylindrical model to estimate the amount of liquid volume from images taken by a monocular camera. This model is based on the idea of calculating the total volume of cylinder extracted from each image. First, images of liquid simulating male urination are binarized to derive features for the model. Each volume of cylinder is calculated by the initial velocity and diameter of liquid in each image. We conducted experiments to evaluate the model by comparing our estimated volume and flow rate to the data acquired from uroflowmeter in practical use. As a result, estimation was within the accuracy of ±10% which is enough accuracy of actual uroflowmeter being used in Japanese hospitals for practical use.