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The paper gives a validity analysis on an automatic dynamic electrocardiogram (Holter) waveform selection strategy. The strategy was based on machine learning techniques. And the data used in analysis are from clinic. The analysis showed that 93% can be reached in clustering phase, and 92% in classification phase. Although the result was not very satisfied, it was a good trying in this study area. In the future, along with improving of the validity, the strategy can take more effect on heart disease diagnosing.