Urooj Shabana, Khan M, Ansari A Q, Lay-Ekuakille Aimé, Salhan Ashok K
Department of Electronics and Instrumentation Engineering, Galgotias College of Engineering and Technology, Greater Noida, 201306, India.
Comput Methods Biomech Biomed Engin. 2012;15(8):859-64. doi: 10.1080/10255842.2011.565054. Epub 2011 May 23.
Pulmonary oedema is a life-threatening disease that requires special attention in the area of research and clinical diagnosis. Computer-based techniques are rarely used to quantify the intrathoracic fluid volume (IFV) for diagnostic purposes. This paper discusses a software program developed to detect and diagnose pulmonary oedema using LabVIEW. The software runs on anthropometric dimensions and physiological parameters, mainly transthoracic electrical impedance (TEI). This technique is accurate and faster than existing manual techniques. The LabVIEW software was used to compute the parameters required to quantify IFV. An equation relating per cent control and IFV was obtained. The results of predicted TEI and measured TEI were compared with previously reported data to validate the developed program. It was found that the predicted values of TEI obtained from the computer-based technique were much closer to the measured values of TEI. Six new subjects were enrolled to measure and predict transthoracic impedance and hence to quantify IFV. A similar difference was also observed in the measured and predicted values of TEI for the new subjects.
肺水肿是一种危及生命的疾病,在研究和临床诊断领域需要特别关注。基于计算机的技术很少用于定量胸腔内液体量(IFV)以进行诊断。本文讨论了一种使用LabVIEW开发的用于检测和诊断肺水肿的软件程序。该软件基于人体测量尺寸和生理参数运行,主要是经胸电阻抗(TEI)。该技术比现有的手动技术更准确、更快。使用LabVIEW软件计算量化IFV所需的参数。获得了一个将控制百分比与IFV相关联的方程。将预测的TEI结果和测量的TEI结果与先前报告的数据进行比较,以验证所开发的程序。结果发现,从基于计算机的技术获得的TEI预测值与TEI测量值更接近。招募了六名新受试者来测量和预测经胸阻抗,从而量化IFV。在新受试者的TEI测量值和预测值中也观察到了类似的差异。