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Benchmarking the Impact of Noise on Deep Learning-Based Classification of Atrial Fibrillation in 12-Lead ECG.
Theresa Bender
Philip Gemke
Ennio Idrobo-Ávila
Henning Dathe
Dagmar Krefting
Nicolai Spicher
Published in:
MIE (2023)
Keyphrases
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deep learning
heart rate variability
unsupervised learning
atrial fibrillation
ecg signals
classification accuracy
machine learning
heart rate
feature extraction
support vector
decision trees
image classification
text classification
supervised learning
spectral analysis
feature vectors
pattern recognition
image processing
mental models
active learning
high resolution
multiscale