Remarks on visualization of fuzziness of cardiac data

Janusz Opila, T. Pelech-Pilichowski
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引用次数: 0

Abstract

In contemporary health science sophisticated apparatus delivers a lot of data on vital processes in patients. All of them are processed as a bulk of numbers not suitable directly for diagnosing or research purposes. Moreover, which is common in biomedical sciences, measured data are intrinsically inaccurate, i.e., fuzzy. In order to overcome these deficiencies a set of visualization methods has been developed as well as dedicated file formats. In the paper authors discuss selected formats and imaging techniques useful for cardiologists. Problems of medical data processing is outlined. Strengthens and weaknesses of raw STL file format are analyzed. Visualization styles of data fuzziness using experimental package ScPovPlot3D based on POVRay are proposed and discussed.
心脏数据的模糊性可视化刍议
在当代健康科学中,复杂的仪器提供了大量关于患者生命过程的数据。所有这些数据都被处理成一大堆数字,不适合直接用于诊断或研究目的。此外,这在生物医学科学中很常见,测量数据本质上是不准确的,即模糊的。为了克服这些缺陷,已经开发了一套可视化方法以及专用的文件格式。在本文中,作者讨论了对心脏病专家有用的选择格式和成像技术。概述了医疗数据处理中存在的问题。分析了原始STL文件格式的优缺点。提出并讨论了基于POVRay的实验包ScPovPlot3D的数据模糊可视化样式。
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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