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In this paper we present a personalized long-term electrocardiogram (ECG) classification framework, which can be applied to any Holter register recorded from an individual patient. Due to the massive amount of ECG beats in a Holter register, visual inspection is quite difficult and cumbersome, if not impossible. Therefore the proposed system helps professionals to quickly and accurately diagnose any...
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