Abstract:Introduction:
Classifying multiple cardiac signals simultaneously is still a challenge for computational methods. We propose a computational algorithm that performs a multi-class classification. We use a combination of global features of the electrocardiogram (ECG) signal, where we statistically analyze the complete signal, as well as include the local features of the cardiac cycles.
Methodology:
286 ECG signals obtained from the MIT-BIH Database were e… Show more
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