Zywietz C, Borovsky D, Götsch G, Joseph G
Medizinische Hochschule Hannover, Arbeitsbereich Biosignalverarbeitung, F.R.G.
Methods Inf Med. 1990 Sep;29(4):375-85.
The Hannover ECG program HES has been designed for measurement and interpretation of resting and (moderate) exercise electrocardiograms. In the signal analysis part the program follows an averaging strategy. For diagnostic classification a hybrid model with decision trees and scoring algorithms, and with multivariate probabilistic tests for derivation of category A statements is applied. The multivariate classification technique allows to adjust sensitivity and specificity for specific application areas without changing the diagnostic criteria.
汉诺威心电图程序HES专为静息和（适度）运动心电图的测量与解读而设计。在信号分析部分，该程序采用平均策略。对于诊断分类，应用了一种结合决策树和评分算法的混合模型，并采用多变量概率测试来推导A类陈述。多变量分类技术允许在不改变诊断标准的情况下，针对特定应用领域调整敏感性和特异性。
