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Computerized classification of patients with coronary artery disease but normal or unspecifically changed ECG and healthy volunteers

机译:冠状动脉疾病患者的计算机化分类,但正常或未删除的ECG和健康志愿者

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The character of changes in the spatial structure of the magnetic field of the heart represents the individual characteristic of the subject. New algorithms of spatial-temporal analysis were used for investigation of MCG healthy volunteers and patients with proved CAD. The analysis of parameters has been carried out by a forward stepwise discriminant analysis for distinguishing between the control group and the CAD group. Checkout of algorithm of classification has been carried out on the control ("blinded" groups) sample of the patients. The accuracy of 77%.
机译:心脏磁场的空间结构的变化的特征代表了对象的个体特征。用于调查MCG健康志愿者及患者的新的空间分析算法。通过向前逐步判别分析进行参数的分析,以区分对照组和CAD组。在控制中进行了分类算法的结账(“盲化”组)患者的样本。准确性为77%。

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