Automatic ECG segmentation using deep learning.
The QT Database includes ECGs which were chosen to represent a wide variety of QRS and ST-T morphologies, in order to challenge QT detection algorithms with real-world variability. The QT Database contains a total of 105 fifteen-minute excerpts of two channel ECGs, selected to avoid significant baseline wander or other artifacts.
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