A computer based prediction for diagnosis of Pulmonary Edema

机译：基于计算机的肺水肿诊断预测

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摘要

Pulmonary Edema (PE) is a life threatening disease that needs special attention in the area of research and clinical diagnosis. The computer based technique is rarely reported to quantify the intrathoracic fluid for the diagnosis purpose. In the present paper software has been developed to detect and diagnose pulmonary edema using LabVIEW. The developed software is based on physiological measurements and parameters. The computer based technique is accurate and faster. The reported anthropometric measurements are used to determine transthoracic electrical impedance (TEI) and percent control (PC). The programming of LabVIEW software is done and used to compute the parameters involved to find quantitative PE. An equation relating percent control and thoracic fluid volume (TFV) is obtained using Microsoft Excel. The results of predicted TEI and measured TEI are compared to verify the developed program. It is found that the predicted values of TEI of developed computer based technique are much closer to the measured values of TEI in the present work.

机译：肺水肿（PE）是一种威胁生命的疾病，在研究和临床诊断领域需要特别注意。很少报道基于计算机的技术来量化胸腔积液以用于诊断目的。在本文中，已经开发了使用LabVIEW检测和诊断肺水肿的软件。开发的软件基于生理测量和参数。基于计算机的技术准确且速度更快。报告的人体测量结果用于确定经胸电阻抗（TEI）和控制百分比（PC）。完成了LabVIEW软件的编程，并将其用于计算找到定量PE所需的参数。使用Microsoft Excel获得与控制百分比和胸腔积液（TFV）相关的方程式。比较预测的TEI和测量的TEI的结果以验证开发的程序。发现在目前的工作中，已开发的基于计算机的技术的TEI的预测值非常接近TEI的测量值。

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来源
《2010 IEEE International Workshop on Medical Measurements and Applications Proceedings》|2010年|P.28-31|共4页
会议地点 Ottawa(CA);Ottawa(CA)
作者
Urooj Shabana; Khan Munna;
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作者单位

Electronics Instrumentation Engineering Department, Galgotias College of Engineering Technology, Greater Noida, India;

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会议组织
原文格式 PDF
正文语种 eng
中图分类医药卫生器械;
关键词
LabVIEW; Pulmonary edema; anthropometric dimension; intrathoracic fluid volume; transthoracic electrical impedance;

机译：LabVIEW;肺水肿;人体尺寸;胸腔积液;经胸电阻抗;

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2. Interobserver agreement in the diagnosis of acute pulmonary embolism from computed tomography pulmonary angiography and on the effectiveness of computer-aided diagnosis. [J] . Liang J, Gotway MB, Terzopoulos D, The American journal of emergency medicine . 2011,第4期

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4. A computer based prediction for diagnosis of Pulmonary Edema [C] . IEEE International Workshop on Medical Measurements and Applications Proceedings . 2010

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5. A computer-aided diagnosis system for lung nodule detection in pulmonary CT images based on LS-SVM and wavelet transformation. [D] . Talakoub, Omid. 2007

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6. Preliminary study on artificial intelligence diagnosis of pulmonary embolism based on computer in-depth study [O] . Xiang Li, Xiang Wang, Xin Yang, 2021

机译：基于计算机深入研究的肺栓塞人工智能诊断初步研究
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机译：基于计算机的运动训练中肺功能变量采集技术

A computer based prediction for diagnosis of Pulmonary Edema

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