Why the study?
Does a multiscaled fusion of deep convolutional neural network improve classification accuracy for screening atrial fibrillation from single lead short ECG recordings compared to other neural networks?
Population
Single lead short electrocardiogram (ECG) recordings
Comparison
Multiscaled fusion of deep convolutional neural… vs Artificial neural network, shallow single-stream…
Design
Other
Authors
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May support wearable AF screening from short ECGs; leaves open prospective clinical validation.
Does a multiscaled fusion of deep convolutional neural network improve classification accuracy for screening atrial fibrillation from single lead short ECG recordings compared to other neural networks?
A multiscaled fusion deep convolutional neural network achieves high accuracy (up to 98.13%) in detecting atrial fibrillation from short, single-lead ECG recordings, showing potential for wearable device integration.
Fan et al. (2018) studied this question.
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