3260 papers • 126 benchmarks • 313 datasets
Delineation of the waveforms P, T and QRS complexes from ECG signals
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LUDB is reported, an open tool for validating ECG delineation algorithms, that is superior to the existing publicly available data bases in several aspects and contributes to the diversity of public databases employed in developing and validating novel ECG analysis algorithms.
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.
Adding a benchmark result helps the community track progress.