然后基于支持向量机算法构造了支持向量机分类器，将其用于心电图分类，取得了较高的准确率。

Then a support vector machine classifier is constructed and applied to ECG classification. Comparing with the classification of ECG by eyes, the classification results is much more precise.

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随后针对实际的临床十二导联心电图数据，实验了两种支持向量机的分类方法。

Then, support vector machine is selected to classify aiming at clinical ECG data. Finally, classifications combination approach is analyzed.

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