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Journal Abstract Search

565 related items for PubMed ID: 30538768

  • 1. Arrhythmia Classification of ECG Signals Using Hybrid Features.
    Anwar SM, Gul M, Majid M, Alnowami M.
    Comput Math Methods Med; 2018; 2018():1380348. PubMed ID: 30538768
    [Abstract] [Full Text] [Related]

  • 2. Arrhythmia Classification Based on Multi-Domain Feature Extraction for an ECG Recognition System.
    Li H, Yuan D, Wang Y, Cui D, Cao L.
    Sensors (Basel); 2016 Oct 20; 16(10):. PubMed ID: 27775596
    [Abstract] [Full Text] [Related]

  • 3. Medical Decision Support System for Diagnosis of Heart Arrhythmia using DWT and Random Forests Classifier.
    Alickovic E, Subasi A.
    J Med Syst; 2016 Apr 20; 40(4):108. PubMed ID: 26922592
    [Abstract] [Full Text] [Related]

  • 4. Cardiac arrhythmia beat classification using DOST and PSO tuned SVM.
    Raj S, Ray KC, Shankar O.
    Comput Methods Programs Biomed; 2016 Nov 20; 136():163-77. PubMed ID: 27686713
    [Abstract] [Full Text] [Related]

  • 5. Combining Low-dimensional Wavelet Features and Support Vector Machine for Arrhythmia Beat Classification.
    Qin Q, Li J, Zhang L, Yue Y, Liu C.
    Sci Rep; 2017 Jul 20; 7(1):6067. PubMed ID: 28729684
    [Abstract] [Full Text] [Related]

  • 6. Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal.
    Asl BM, Setarehdan SK, Mohebbi M.
    Artif Intell Med; 2008 Sep 20; 44(1):51-64. PubMed ID: 18585905
    [Abstract] [Full Text] [Related]

  • 7. Arrhythmia recognition and classification using combined linear and nonlinear features of ECG signals.
    Elhaj FA, Salim N, Harris AR, Swee TT, Ahmed T.
    Comput Methods Programs Biomed; 2016 Apr 20; 127():52-63. PubMed ID: 27000289
    [Abstract] [Full Text] [Related]

  • 8. Wavelet Scattering Transform for ECG Beat Classification.
    Liu Z, Yao G, Zhang Q, Zhang J, Zeng X.
    Comput Math Methods Med; 2020 Apr 20; 2020():3215681. PubMed ID: 33133225
    [Abstract] [Full Text] [Related]

  • 9. A cascaded classifier for multi-lead ECG based on feature fusion.
    Chen G, Hong Z, Guo Y, Pang C.
    Comput Methods Programs Biomed; 2019 Sep 20; 178():135-143. PubMed ID: 31416542
    [Abstract] [Full Text] [Related]

  • 10. Classification of the electrocardiogram signals using supervised classifiers and efficient features.
    Zadeh AE, Khazaee A, Ranaee V.
    Comput Methods Programs Biomed; 2010 Aug 20; 99(2):179-94. PubMed ID: 20510478
    [Abstract] [Full Text] [Related]

  • 11. Heartbeat classification using morphological and dynamic features of ECG signals.
    Ye C, Kumar BV, Coimbra MT.
    IEEE Trans Biomed Eng; 2012 Oct 20; 59(10):2930-41. PubMed ID: 22907960
    [Abstract] [Full Text] [Related]

  • 12. Interpretation of Electrocardiogram Heartbeat by CNN and GRU.
    Yao G, Mao X, Li N, Xu H, Xu X, Jiao Y, Ni J.
    Comput Math Methods Med; 2021 Oct 20; 2021():6534942. PubMed ID: 34497664
    [Abstract] [Full Text] [Related]

  • 13. ECG beat classification using empirical mode decomposition and mixture of features.
    Sahoo S, Mohanty M, Behera S, Sabut SK.
    J Med Eng Technol; 2017 Nov 20; 41(8):652-661. PubMed ID: 29111840
    [Abstract] [Full Text] [Related]

  • 14. Arrhythmia detection and classification using morphological and dynamic features of ECG signals.
    Ye C, Coimbra MT, Vijaya Kumar BK.
    Annu Int Conf IEEE Eng Med Biol Soc; 2010 Nov 20; 2010():1918-21. PubMed ID: 21097000
    [Abstract] [Full Text] [Related]

  • 15. Automatic recognition of arrhythmia based on principal component analysis network and linear support vector machine.
    Yang W, Si Y, Wang D, Guo B.
    Comput Biol Med; 2018 Oct 01; 101():22-32. PubMed ID: 30098452
    [Abstract] [Full Text] [Related]

  • 16. ECG Heartbeat Classification Based on an Improved ResNet-18 Model.
    Jing E, Zhang H, Li Z, Liu Y, Ji Z, Ganchev I.
    Comput Math Methods Med; 2021 Oct 01; 2021():6649970. PubMed ID: 34007306
    [Abstract] [Full Text] [Related]

  • 17. Feature extraction for ECG heartbeats using higher order statistics of WPD coefficients.
    Kutlu Y, Kuntalp D.
    Comput Methods Programs Biomed; 2012 Mar 01; 105(3):257-67. PubMed ID: 22055998
    [Abstract] [Full Text] [Related]

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  • 20. An Effective LSTM Recurrent Network to Detect Arrhythmia on Imbalanced ECG Dataset.
    Gao J, Zhang H, Lu P, Wang Z.
    J Healthc Eng; 2019 Mar 01; 2019():6320651. PubMed ID: 31737240
    [Abstract] [Full Text] [Related]

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