Guo X, Jue X, Ruan Y, Wang Z
Department of Cardiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030.
J Tongji Med Univ. 2001;21(1):21-2, 81. doi: 10.1007/BF02888027.
During last 16 years we have successfully developed the computer-assisted vectorcardiogram analysis systems: model TJ-I, TJ-II, and TJ-III, but some technical problems remained unresolved, such as the recognition accuracy for vectorcardiograms, measurement of the parameters of complicated QRS waves, the ratio of T loop length to width, and the area of spatial vectors etc. A new system, model TJ-IV was designed to resolve these technical problems. The system was equipped with a 586 computer with a CPU of 120 MHz. Special new low-noise amplifier was employed and C language was used for programming. Three graph recognition techniques were used to enhance the accuracy of VCG recognition. 32 orthogonal electrocardiograms and vectorcardiograms were displayed and printed, and 566 parameters of vectorcardiograms were calculated. Our results with 150 cases showed that the system had high accuracy of graph recognition, and parameter calculation and the results were essentially consistent with those of manipulative methods. We were led to concluded when compared with TJ-III system, the new version has higher accuracy of processing and measurement for vectorcardiograms, is able to process more vectorcardiographic parameters, with higher processing speed.
在过去的16年里,我们成功开发了计算机辅助向量心电图分析系统:TJ-I型、TJ-II型和TJ-III型,但仍有一些技术问题未得到解决,如向量心电图的识别准确率、复杂QRS波参数的测量、T环长宽比以及空间向量面积等。为了解决这些技术问题,我们设计了一种新的系统,即TJ-IV型。该系统配备了一台CPU为120 MHz的586计算机。采用了特殊的新型低噪声放大器,并使用C语言进行编程。运用了三种图形识别技术来提高向量心电图识别的准确性。可显示和打印32份正交心电图和向量心电图,并计算出566项向量心电图参数。我们对150例病例的研究结果表明,该系统具有较高的图形识别准确率和参数计算能力,结果与手工测量方法基本一致。与TJ-III型系统相比,我们得出结论,新版本对向量心电图的处理和测量具有更高的准确性,能够处理更多的向量心电图参数,且处理速度更快。