From: AFibNet: an implementation of atrial fibrillation detection with convolutional neural network
Dataset | Frequency sampling (Hz) | Class | Records | Training data | Validation data | Testing/unseen data |
---|---|---|---|---|---|---|
PhysioNet/CinC challenge 2017 | 300 | N | 5154 |  |  | – |
AF | 771 |  |  | – | ||
China physiological signal challenge 2018 | 500 | N | 918 | 7409 | 823 | – |
AF | 1098 |  |  | – | ||
MIT–BIH atrial fibrillation | 250 | AF | 291 |  |  | – |
MIT–BIH arrhythmia | 360 | AF | 6 | – | – | – |
ECG long term | 128 | AF | 38 | – | – | – |
Paroxysmal AF | 128 | AF | 48 | – | – | – |
AF termination challenge | 128 | AF | 10 | – | – | – |
Fantasia | 250 | N | 24 | – | – | – |
N | 1646 | – | – | – | ||
ECG recording from Chapman University and Shaoxing People’s Hospital | 500 | AF | 1780 | – | – | 3610 |
Indonesian Hospital (ECG 1) | 500 | N | 42 | – | – | – |
AF | 3 | – | – | – | ||
Indonesian Hospital (ECG 2) | 400 | AF | 13 | – | – | – |
Total | Â | 7409 | 823 | 3610 |