Fabio Oliva

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This paper presents an application of Neural Networks (NNs) and Support Vector Machines (SVMs) for the detection and classification of heartbeats in electrocardiogram (ECG) signals. The preprocessing algorithm for the beats detection is based on well-known Pan-Tompkins' algorithm. The proposed approach is robust to different types of noise and shows good(More)
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