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Paroxysmal Atrial Fibrillation Events Detection from Dynamic ECG Recordings: The 4th China Physiological Signal Challenge 2021

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CPSC2021

Paroxysmal Atrial Fibrillation Events Detection from Dynamic ECG Recordings: The 4th China Physiological Signal Challenge 2021

Offline generated training data

CPSC2021-sliced on Kaggle.

Results (Rankings)

Results on the partial hidden test set (only the top of the table is included)

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Results on the partial hidden test set

res_pht

Results on the validation set

Raw results are gathered into one zip file, the val_res.zip in the results folder

Network(s) Merge Rule Score on Partial Hidden Test Set Score on Validation Set
LSTM NA 1.9392 2.0621
SeqTag NA 1.9781 2.1577
U-Net NA 1.3699 NA
LSTM + U-Net Union 1.7829 NA
LSTM + SeqTag Intersection 1.9287 NA
LSTM + SeqTag Union 1.9766 2.1682
LSTM + SeqTag New Union ? 2.2179

Confusion matrices of the LSTM model and the SeqTag model

              

More detailed analysis using pandas

References

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Paroxysmal Atrial Fibrillation Events Detection from Dynamic ECG Recordings: The 4th China Physiological Signal Challenge 2021

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  • Python 70.8%
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