The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Heartbeat classification using disease-specific feature selection
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Goldberger, A. L., Amaral, L. A. N., Glass, L., Hausdorff, J. M., Ivanov, P. C., Mark, R. G., Mietus, J. E., Moody, G. B., Peng, C.-K., & Stanley, H. E. (2000) · Circulation · doi:10.1161/01.cir.101.23.e215 · Cited by 14,809
An introduction to variable and feature selection
GuyonIsabelle, & ElisseeffAndré (2003) · Journal of Machine Learning Research · doi:10.5555/944919.944968 · Cited by 7,715
An Introduction to Variable and Feature Selection.
Guyon, I., & Elisseeff, A. (2003) · Cited by 6,576
Kittler, J., Hatef, M., Duin, R. P. W., & Matas, J. (1998) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.667881 · Cited by 5,290
The impact of the MIT-BIH Arrhythmia Database
Moody, G. B., & Mark, R. G. (2001) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/51.932724 · Cited by 4,812
Automatic Classification of Heartbeats Using ECG Morphology and Heartbeat Interval Features
deChazal, P., O'Dwyer, M., & Reilly, R. B. (2004) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2004.827359 · Cited by 1,671
A Wavelet-Based ECG Delineator: Evaluation on Standard Databases
Martinez, J. P., Almeida, R., Olmos, S., Rocha, A. P., & Laguna, P. (2004) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2003.821031 · Cited by 1,605
Feature selection, L 1 vs. L 2 regularization, and rotational invariance
Ng, A. Y. (2004) · Twenty-first international conference on Machine learning - ICML '04 · doi:10.1145/1015330.1015435 · Cited by 1,572
Probability Estimates for Multi-class Classification by Pairwise Coupling
Wu, T., Lin, C., & Weng, R. C. (2004) · Journal of Machine Learning Research · doi:10.5555/1005332.1016791 · Cited by 1,468
Regularized multi--task learning
Evgeniou, T., & Pontil, M. (2004) · Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/1014052.1014067 · Cited by 1,433
Cited by
Arrhythmia detection using deep convolutional neural network with long duration ECG signals
Yıldırım, Ö., Pławiak, P., Tan, R.-S., & Acharya, U. R. (2018) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2018.09.009 · Cited by 851
Automatic ECG Classification Using Continuous Wavelet Transform and Convolutional Neural Network
Wang, T., Lu, C., Sun, Y., Yang, M., Liu, C., & Ou, C. (2021) · Entropy · doi:10.3390/e23010119 · Cited by 308
Ansari, Y., Mourad, O., Qaraqe, K., & Serpedin, E. (2023) · Frontiers in Physiology · doi:10.3389/fphys.2023.1246746 · Cited by 291
A Fast Machine Learning Model for ECG-Based Heartbeat Classification and Arrhythmia Detection
Alfaras, M., Soriano, M. C., & Ortín, S. (2019) · Frontiers in Physics · doi:10.3389/fphy.2019.00103 · Cited by 265
Novel methodology of cardiac health recognition based on ECG signals and evolutionary-neural system
Pławiak, P. (2018) · Expert Systems with Applications · doi:10.1016/j.eswa.2017.09.022 · Cited by 264
Metadata
- Authors
- Zhang, Z., Dong, J., Luo, X., Choi, K.-S., & Wu, X.
- Venue
- Computers in Biology and Medicine
- Publisher
- Elsevier BV
- Published
- 2014-03
- Volume
- 46
- Pages
- 79-89
- ISSN
- 0010-4825 (ISSN-L)
- OpenAlex
- W2114842946
- Cited by
- 358
- References
- 29
- FWCI
- 3.39
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Heartbeat classification using disease-specific feature selection. https://app.cochat.ai/papers/10.1016/j.compbiomed.2013.11.019
- The paper
- Zhang, Z., Dong, J., Luo, X., Choi, K.-S., & Wu, X. (2014). Heartbeat classification using disease-specific feature selection. Computers in Biology and Medicine. https://doi.org/10.1016/j.compbiomed.2013.11.019
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.
