医用生物电诊断仪器在临床是普遍使用，但最常用的是心电图和脑电图。

The examination instruments about the medical bioelectricity were used widely in the clinical field. But the most common instruments were electrocardiogram and electroencephalogram.

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目前，我们实验的支持向量机分类方法已经移植到了远程心电诊断中心，将根据反馈不断完善应用效果。

Now, support vector machine classifier we experienced has been transplanted to remote ECG diagnosis center. The feedback is being waited to improve the application.

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本文以领域专家的理论知识和经验知识为基础，采用一加权不确定性推理方法，建立了一个心电诊断专家实验原型系统。

This paper develops an expert system for Electrocardiogram diagnosis. Its uncertainty reasoning with weight is based on the experience and specialty knowledge of experts.

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