Colla B, Astorri E, Cuminetti S
Minerva Med. 1980 Nov 14;71(45):3319-28.
A computer method analysing Frank VCG recorded on rest and on exertion, is presented. Electrical noises due to exercise are eliminated by averaging 8 complexes. The pattern-recognition of every wave is carried out by analysing a particular function obtained by translating the X, Y, Z leads on the line joining the T-P, P-Q, ST and subsequent T-P segment. The following parameters are evaluated: maximal and mean vector, linear, areolar and tangential (our original method) spatial velocity, half-area vector, area described by the spatial vector and oriented according to X, Y, Z polarity.
本文介绍了一种分析静息和运动时记录的Frank心向量图的计算机方法。通过对8个复合波进行平均来消除运动引起的电噪声。通过分析一个特定函数来实现对每个波的模式识别，该函数是通过将X、Y、Z导联沿连接T-P、P-Q、ST及后续T-P段的直线平移得到的。评估了以下参数：最大和平均向量、线性、乳晕和切向（我们的原始方法）空间速度、半面积向量、空间向量描述的面积以及根据X、Y、Z极性定向的面积。
