Ninova P P, Dascalov I K, Dimitrova M I
Cardiology. 1978;63(1):5-13. doi: 10.1159/000169876.
Mass screening for heart disease in children can be accomplished by automatic analysis of phonocardiograms (PCG) obtained from five routine auscultation points. An ECG signal serves as reference. PCG signals exceeding 20% of the amplitude of the first heart sound S1 in the diastolic interval and 40% of S1 in the systolic interval are considered as abnormal. Signals in the systolic interval with an amplitude between 20 and 40% of S1 are classified as normal if their duration is less than two-thirds of the interval from the first to second heart sound. Thus, the method takes into account innocent murmurs and classifies them as normal. The splitting of the second sound is detected by monitoring its duration at a level of 20% of S1. This method was tested on 2,583 children aged from 3 to 14 years and on 345 children with proven heart disease. The results obtained showed a sensitivity of 96.5% and a specificity of 92.4%.
通过对从五个常规听诊点获取的心音图（PCG）进行自动分析，可以实现对儿童心脏病的大规模筛查。心电图信号作为参考。舒张期PCG信号超过第一心音S1振幅的20%以及收缩期超过S1振幅的40%被视为异常。如果收缩期信号的振幅在S1的20%至40%之间，且其持续时间小于从第一心音到第二心音间隔的三分之二，则分类为正常。因此，该方法考虑了无害杂音并将其分类为正常。通过在S1水平的20%监测第二心音的持续时间来检测其分裂。该方法在2583名3至14岁的儿童以及345名经证实患有心脏病的儿童身上进行了测试。所得结果显示敏感性为96.5%，特异性为92.4%。
