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Flow chart to discriminate AFib from non-AFib. We tried to discriminate AFib from non-AFib using three feature measures. We divided the distribution of the number of clusters into two, and calculated the lower mean value by k-means clustering method. We decided there was a pattern in Poincaré plot if the number of clusters of a test data is more than one and less than this mean value. Otherwise we further applied support vector machine method to the other remaining features measures.
