Results on Original and Compressed Heartbeats Classification Using a Multi-layer Perceptron
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چکیده
The aim of this communication is to compare several results on heartbeats classification using a MultiLayer Perceptron (MLP) trained with databases consisting of original cardiac patterns as well as reconstructed ones from compressed signals obtained by means of the method presented in [1]. Moreover, the possibility of using Principal Components Analysis (PCA) applied both on original and compressed ECG signals have been investigated.
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تاریخ انتشار 2006