LSTM-Based Auto-Encoder Model for ECG Arrhythmias Classification
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DOI: 10.1109/tim.2019.2910342
Abstract: This paper introduces a novel deep learning-based algorithm that integrates a long short-term memory (LSTM)-based auto-encoder (AE) network with support vector machine (SVM) for electrocardiogram (ECG) arrhythmias classification. The LSTM-based AE network (LSTM-AE) is used… read more here.
Keywords: ecg arrhythmias; lstm based; arrhythmias classification; ecg ... See more keywords