Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL

Electrocardiography (ECG) is a very common, non-invasive diagnostic procedure and its interpretation is increasingly supported by algorithms. The progress in the field of automatic ECG analysis has up to now been hampered by a lack of appropriate datasets for training as well as a lack of well-defin...

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Bibliographic Details
Main Authors:	Samek, W. (Author), Schaeffter, T. (Author), Strodthoff, N. (Author), Wagner, P. (Author)
Format:	Article
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:	algorithm Algorithms article benchmarking Benchmarking Classification (of information) classification algorithm Classification algorithm classifier Connecting points convolutional neural network Convolutional neural networks decision support system Decision support systems deep learning Deep learning Deep Learning electrocardiogram electrocardiography Electrocardiography exploratory research human Humans Learning algorithms Learning-based algorithms machine learning algorithms Model uncertainties Neural Networks, Computer Non-invasive diagnostics Noninvasive medical procedures Petroleum reservoir evaluation Quality control Quantitative accuracy quantitative analysis residual neural network Time series classifications Transfer learning transfer of learning uncertainty Uncertainty analysis Uncertainty quantifications
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Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL

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