DSCSSA: A Classification Framework for Spatiotemporal Features Extraction of Arrhythmia Based on the Seq2Seq Model With Attention Mechanism
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DOI: 10.1109/tim.2022.3194906
Abstract: In the field of arrhythmia classification, classification accuracy has always been a research hotspot. However, the noises of electrocardiogram (ECG) signals, the class imbalance of ECG data, and the complexity of spatiotemporal features of ECG… read more here.
Keywords: spatiotemporal features; attention mechanism; classification; model attention ... See more keywords