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The worth of automated 12-lead ECG diagnostic methods is based on their capability to screen the overall populace also to supply an additional viewpoint for physicians. Yet, the clinical utility of automatic ECG interpretations remains limited. We introduce a two-way approach to an automated cardiac disease identification system making use of standard electronic or image 12-lead ECG recordings. Two different system architectures, one trained using electronic signals (CNN-dig) and som
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