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A deep convolutional neural network model to classify heartbeats
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Cites
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ECG beat classification using PCA, LDA, ICA and Discrete Wavelet Transform
Martis, R. J., Acharya, U. R., & Min, L. C. (2013) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2013.01.005 · Cited by 722
Self-citation
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Cited by
Hannun, A. Y., Rajpurkar, P., Haghpanahi, M., Tison, G. H., Bourn, C., Turakhia, M. P., & Ng, A. Y. (2019) · Nature Medicine · doi:10.1038/s41591-018-0268-3 · Cited by 3,148
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Self-citationAutomated EEG-based screening of depression using deep convolutional neural network
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Self-citationMachine-learning-based disease diagnosis: a comprehensive review
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Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network
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Metadata
- Authors
- Acharya, U. R., Oh, S. L., Hagiwara, Y., Tan, J. H., Adam, M., Gertych, A., & Tan, R. S.
- Venue
- Computers in Biology and Medicine
- Publisher
- Elsevier BV
- Published
- 2017-10
- Volume
- 89
- Pages
- 389-396
- ISSN
- 0010-4825 (ISSN-L)
- OpenAlex
- W2748902594
- Cited by
- 1,421
- References
- 6
- FWCI
- 62.33
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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- Acharya, U. R., Oh, S. L., Hagiwara, Y., Tan, J. H., Adam, M., Gertych, A., & Tan, R. S. (2017). A deep convolutional neural network model to classify heartbeats. Computers in Biology and Medicine. https://doi.org/10.1016/j.compbiomed.2017.08.022
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
