medical
ECG QRS Detection
3260 papers • 126 benchmarks • 313 datasets
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Most implemented papers
Investigating Deep Learning Benchmarks for Electrocardiography Signal Processing
Hao Wen, Ji-Su Kang•Fri Apr 08 2022
A deep learning framework, namedtorch, is proposed, which gathers a large number of neural networks, both from literature and novel, for various ECG processing tasks, and establishes a convenient and modular way for automatic building and flexible scaling of the networks.
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