The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
ECG beat recognition using fuzzy hybrid neural network
Abstract
This paper presents the application of the fuzzy neural network for electrocardiographic (ECG) beat recognition and classification. The new classification algorithm of the ECG beats, applying the fuzzy hybrid neural network and the features drawn from the higher order statistics has been proposed in the paper. The cumulants of the second, third, and fourth orders have been used for the feature selection. The hybrid fuzzy neural network applied in the solution consists of the fuzzy self-organizing subnetwork connected in cascade with the multilayer perceptron, working as the final classifier. The c-means and Gustafson-Kessel algorithms for the self-organization of the neural network have been applied. The results of experiments of recognition of different types of beats on the basis of the ECG waveforms have confirmed good efficiency of the proposed solution. The investigations show that the method may find practical application in the recognition and classification of different type heart beats.
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Citations
Cites
A Real-Time QRS Detection Algorithm
Pan, J., & Tompkins, W. J. (1985) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.1985.325532 · Cited by 7,855
Cited by
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
ECG Classification Using Wavelet Packet Entropy and Random Forests
Li, T., & Zhou, M. (2016) · Entropy · doi:10.3390/e18080285 · Cited by 478
A novel application of deep learning for single-lead ECG classification
Mathews, S. M., Kambhamettu, C., & Barner, K. E. (2018) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2018.05.013 · Cited by 322
Current methods in electrocardiogram characterization
Martis, R. J., Acharya, U. R., & Adeli, H. (2014) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2014.02.012 · Cited by 278
A fuzzy clustering neural network architecture for classification of ECG arrhythmias
Özbay, Y., Ceylan, R., & Karlik, B. (2006) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2005.01.006 · Cited by 254
Metadata
- Authors
- Osowski, S., & Linh, T. H.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 2001
- Volume
- 48
- Issue
- 11
- Pages
- 1265-1271
- ISSN
- 0018-9294 (ISSN-L)
- OpenAlex
- W2145044818
- Cited by
- 518
- References
- 1
- FWCI
- 3.17
- Type
- journal article
- Language
- en
- Open access
- closed
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- Osowski, S., & Linh, T. H. (2001). ECG beat recognition using fuzzy hybrid neural network. IEEE Transactions on Biomedical Engineering. https://doi.org/10.1109/10.959322
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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.
