AF Classification from a Short Single Lead ECG Recording: the Physionet Computing in Cardiology Challenge 2017
The PhysioNet/Computing in Cardiology (CinC) Challenge 2017 focused on differentiating AF from noise, normal or other rhythms in short term (from 9-61 s) ECG recordings performed by patients. A total of 12, 186 ECGs were used: 8, 528 in the public training set and 3, 658 in the private hidden test s...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Computing in Cardiology,
2020-08-13T17:03:28Z.
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| Subjects: | |
| Online Access: | Get fulltext |