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12导ECG是诊断心肌梗塞最有效的方法之一。目前报道的各种下壁心肌梗塞的各种ECG诊断标准都有较高的特异性,一般都采用多无线性识别和启发性方法来建立这种标准。本文讨论了近年来出现在医学诊断及预后诊断中的分割回归非参量方法,目的是比较分割回归法和逻辑回归法在建立下壁心肌梗塞ECG诊断标准中的作用,同时与其它的启发性诊断力法进行比较。作者对341例下壁心肌梗塞和327例正常ECG检测的结果表明,分割回归法的灵
12-lead ECG is one of the most effective ways to diagnose myocardial infarction. Currently reported a variety of lower wall myocardial infarction ECG diagnostic criteria have a high specificity, the general use of multi-wireless identification and heuristic methods to establish this standard. In this paper, the segmentation regression non-parametric methods that emerged in medical diagnosis and prognosis diagnosis in recent years are discussed in order to compare the effects of segmentation regression and logistic regression in establishing the diagnostic criteria of ECG in inferior wall myocardial infarction and to compare with other heuristic diagnosis Force method to compare. The authors of 341 cases of inferior myocardial infarction and 327 cases of normal ECG test results show that the division of regression of the spirit