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For: Pławiak P, Abdar M. Novel Methodology for Cardiac Arrhythmias Classification Based on Long-Duration ECG Signal Fragments Analysis. In: Naik G, editor. Biomedical Signal Processing. Singapore: Springer; 2020. pp. 225-72. [DOI: 10.1007/978-981-13-9097-5_11] [Cited by in Crossref: 9] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Parmar KS, Kumar A, Kalita U. ECG signal based automated hypertension detection using fourier decomposition method and cosine modulated filter banks. Biomedical Signal Processing and Control 2022;76:103629. [DOI: 10.1016/j.bspc.2022.103629] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Assadi I, Charef A, Bensouici T. PVC arrhythmia classification based on fractional order system modeling. Biomed Tech (Berl) 2021;66:363-73. [PMID: 33606930 DOI: 10.1515/bmt-2020-0170] [Reference Citation Analysis]
3 Shafi I, Ansari S, Din S, Jeon G, Paul A. Artificial neural networks as clinical decision support systems. Concurrency Computat Pract Exper 2021;33. [DOI: 10.1002/cpe.6342] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Rahul J, Sora M, Sharma LD, Bohat VK. An improved cardiac arrhythmia classification using an RR interval-based approach. Biocybernetics and Biomedical Engineering 2021;41:656-66. [DOI: 10.1016/j.bbe.2021.04.004] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
5 Hammad M, Alkinani MH, Gupta BB, Abd El-latif AA. Myocardial infarction detection based on deep neural network on imbalanced data. Multimedia Systems. [DOI: 10.1007/s00530-020-00728-8] [Cited by in Crossref: 12] [Cited by in F6Publishing: 1] [Article Influence: 12.0] [Reference Citation Analysis]
6 Wang Z, Zhu Y, Li D, Yin Y, Zhang J. Feature rearrangement based deep learning system for predicting heart failure mortality. Computer Methods and Programs in Biomedicine 2020;191:105383. [DOI: 10.1016/j.cmpb.2020.105383] [Cited by in Crossref: 9] [Cited by in F6Publishing: 4] [Article Influence: 4.5] [Reference Citation Analysis]
7 Hammad M, Pławiak P, Wang K, Acharya UR. ResNet‐Attention model for human authentication using ECG signals. Expert Systems 2021;38. [DOI: 10.1111/exsy.12547] [Cited by in Crossref: 27] [Cited by in F6Publishing: 2] [Article Influence: 13.5] [Reference Citation Analysis]