Chireĭkin L V, Keĭver A R, Fetisova E M, Aleksandrova G V, Pupko I D
Kardiologiia. 1975 Dec;15(12):99-105.
An algorhythm for an automatic analysis of the ECG by using a special device is proposed for the purpose of identifying patients suffering from diseases of the cardiovascular system. The algorhythm is based on the utilization of simple electrocardiographic indications measured with sufficient accuracy on a real time scale (PQ, QRS, T1 configuration, amplitude of the R, S, T waves). With the algorhythm analysis of the ECG taken in patients with primary rheumatic heart disease, complicated mitral lesion, hypertensive disease, myocardialinfarction the ECG changes helped identify 70 per cent of the patients. The algorhythm proved highly effective in recognizing patients with ischemic heart disease. A correlation between the stages of the affection and the frequency of detected pathological ECG was established. The results of automatic evaluation were contrasted against the data subsequent to an ECG analysis made by the physician, both of these being in good accord.
为了识别患有心血管系统疾病的患者，提出了一种使用特殊设备自动分析心电图的算法。该算法基于对实时测量的具有足够精度的简单心电图指标的利用（PQ、QRS、T1形态、R、S、T波振幅）。通过对原发性风湿性心脏病、复杂性二尖瓣病变、高血压病、心肌梗死患者的心电图进行算法分析，心电图变化有助于识别70%的患者。该算法在识别缺血性心脏病患者方面被证明非常有效。建立了病情阶段与检测到的病理性心电图频率之间的相关性。自动评估结果与医生进行心电图分析后的结果进行了对比，两者吻合良好。
