Key result
Deep convolutional neural networks with wavelet transform improve automatic ECG classification for AF.
Why the study?
Atrial fibrillation is the most common persistent form of arrhythmia, motivating methods for automatic classification of electrocardiograms.
Answers are grounded in this paper and cite their sources.
A method combining wavelet transform and deep convolutional neural networks is applied for automatic classification of ECGs to detect atrial fibrillation.
Atrial fibrillation is the most common persistent form of arrhythmia. A method based on wavelet transform combined with deep convolutional neural network is applied for automatic classification of electrocardiograms. Sinc... | Find, read and cite all the research you need on Tech Science Press
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Zhao et al. (2020) studied this question. A deep convolutional neural network combined with wavelet transform improves the automatic classification of electrocardiograms for atrial fibrillation.
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