Abstract
In this paper, we use cumulative residual entropy to get the features of Ballistocardiogram (BCG). The data after feature recognition are classified by Support Vector Machine (SVM) algorithm to compare the accuracy. Experimental results indicate that high classification accuracy can be obtained. The method can be used in some disease identification.
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