SRTNet: Scanning, Reading, and Thinking Network for myocardial infarction detection and localization
Abstract: Highlights•Design multi-level feature extraction model SRTNet.•Introduce dense convolution and 1D-large kernel convolution into model to reduce complexity.•Use the self-attention mechanism to focus on ECG global features.•Improve the generalization of the model across different patients.
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