ECG sampling frequency substantially and architecture-dependently impacts accuracy, sensitivity, and calibration of CNN and CNN-LSTM models for atrial fibrillation detection on resampled PTB-XL data.
Explainable artificial intelligence to detect atrial fibrillation using electrocardiogram
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Sampling Matters: The Effect of ECG Frequency on Deep Learning-Based Atrial Fibrillation Detection
ECG sampling frequency substantially and architecture-dependently impacts accuracy, sensitivity, and calibration of CNN and CNN-LSTM models for atrial fibrillation detection on resampled PTB-XL data.