The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification
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Cites
ImageNet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM · doi:10.1145/3065386 · Cited by 112,155
Hochreiter, S., & Schmidhuber, J. (1997) · Neural Computation · doi:10.1162/neco.1997.9.8.1735 · Cited by 102,318
Gradient-based learning applied to document recognition
Lecun, Y., Bottou, L., Bengio, Y., & Haffner, P. (1998) · Proceedings of the IEEE · doi:10.1109/5.726791 · Cited by 58,805
Neural networks and physical systems with emergent collective computational abilities.
Hopfield, J. J. (1982) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.79.8.2554 · Cited by 19,270
Bidirectional recurrent neural networks
Schuster, M., & Paliwal, K. K. (1997) · IEEE Transactions on Signal Processing · doi:10.1109/78.650093 · Cited by 10,172
Deep visual-semantic alignments for generating image descriptions
Karpathy, A., & Fei-Fei, L. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298932 · Cited by 4,902
Spin Glass Theory and Beyond: An Introduction to the Replica Method and Its Applications
Mezard, M., Parisi, G., & Virasoro, M. (1986) · World Scientific Lecture Notes in Physics · doi:10.1142/0271 · Cited by 3,653
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
Object Detection Networks on Convolutional Feature Maps
Ren, S., He, K., Girshick, R., Zhang, X., & Sun, J. (2015) · arXiv · doi:10.48550/arxiv.1504.06066 · Cited by 454
Denoising of ECG signals based on noise reduction algorithms in EMD and wavelet domains
Kabir, M. A., & Shahnaz, C. (2012) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2011.11.003 · Cited by 444
Cited by
Ansari, Y., Mourad, O., Qaraqe, K., & Serpedin, E. (2023) · Frontiers in Physiology · doi:10.3389/fphys.2023.1246746 · Cited by 291
Artificial Intelligence and Biosensors in Healthcare and Its Clinical Relevance: A Review
(2023) · doi:10.1109/access.2023.3285596 · Cited by 205
Tao, R., Zhang, S., Huang, X., Tao, M., Ma, J., Ma, S., Zhang, C., Zhang, T., Tang, F., Lu, J., et al. (2019) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2018.2877649 · Cited by 147
A Review of Recurrent Neural Network-Based Methods in Computational Physiology
Mao, S., & Sejdić, E. (2023) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2022.3145365 · Cited by 128
Dai, H., Hwang, H.-G., & Tseng, V. S. (2021) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2021.106035 · Cited by 81
Metadata
- Authors
- Yildirim, Ö.
- Venue
- Computers in Biology and Medicine
- Publisher
- Elsevier BV
- Published
- 2018-05
- Volume
- 96
- Pages
- 189-202
- ISSN
- 0010-4825 (ISSN-L)
- OpenAlex
- W2795340004
- Cited by
- 833
- References
- 10
- FWCI
- 57.80
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification. https://app.cochat.ai/papers/10.1016/j.compbiomed.2018.03.016
- The paper
- Yildirim, Ö. (2018). A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification. Computers in Biology and Medicine. https://doi.org/10.1016/j.compbiomed.2018.03.016
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
