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We build a\ndataset with more than 500 times the number of unique patients than previously\nstudied corpora. On this dataset, we train a 34-layer convolutional neural\nnetwork which maps a sequence of ECG samples to a sequence of rhythm classes.\nCommittees of board-certified cardiologists annotate a gold standard test set\non which we compare the performance of our model to that of 6 other individual\ncardiologists. 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