Abstract: Nowadays, Electrocardiogram (ECG) signal classification is used to automatically identify normal and abnormal heart rhythms by analyzing the electrical activity patterns of the heart.
Computer engineers and programmers have long relied on reverse engineering as a way to copy the functionality of a computer ...
Abstract: This paper presents a robust method for ECG signal classification by integrating Wavelet Scattering Transform (WST) with a lightweight CNN-LSTM network. Unlike the conventional Continuous ...
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