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Journal Abstract Search

135 related items for PubMed ID: 29717579

  • 1. [Arrhythmia heartbeats classification based on neighborhood preserving embedding algorithm].
    Gao X, Li Z, Chen S, Li J.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2017 Feb; 34(1):1-6. PubMed ID: 29717579
    [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. Feature extraction for ECG heartbeats using higher order statistics of WPD coefficients.
    Kutlu Y, Kuntalp D.
    Comput Methods Programs Biomed; 2012 Mar 20; 105(3):257-67. PubMed ID: 22055998
    [Abstract] [Full Text] [Related]

  • 4. 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]

  • 5. Electrocardiogram Classification Based on Faster Regions with Convolutional Neural Network.
    Ji Y, Zhang S, Xiao W.
    Sensors (Basel); 2019 Jun 05; 19(11):. PubMed ID: 31195603
    [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 05; 44(1):51-64. PubMed ID: 18585905
    [Abstract] [Full Text] [Related]

  • 7. [Research on high-efficiency electrocardiogram automatic classification based on autoregressive moving average model fitting].
    Yan H, Mo S, Huang H, Liu Y.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2021 Oct 25; 38(5):848-857. PubMed ID: 34713652
    [Abstract] [Full Text] [Related]

  • 8. A deep convolutional neural network model to classify heartbeats.
    Acharya UR, Oh SL, Hagiwara Y, Tan JH, Adam M, Gertych A, Tan RS.
    Comput Biol Med; 2017 Oct 01; 89():389-396. PubMed ID: 28869899
    [Abstract] [Full Text] [Related]

  • 9. An Improved Convolutional Neural Network Based Approach for Automated Heartbeat Classification.
    Wang H, Shi H, Chen X, Zhao L, Huang Y, Liu C.
    J Med Syst; 2019 Dec 18; 44(2):35. PubMed ID: 31853698
    [Abstract] [Full Text] [Related]

  • 10. Ensemble classifier fostered detection of arrhythmia using ECG data.
    Ramkumar M, Alagarsamy M, Balakumar A, Pradeep S.
    Med Biol Eng Comput; 2023 Sep 18; 61(9):2453-2466. PubMed ID: 37145258
    [Abstract] [Full Text] [Related]

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  • 14. Identification and classification of arrhythmic heartbeats from electrocardiogram signals using feature induced optimal extreme gradient boosting algorithm.
    Majumder S, Bhattacharya S, Debnath P, Ganguly B, Chanda M.
    Comput Methods Biomech Biomed Engin; 2024 Oct 18; 27(13):1906-1919. PubMed ID: 37807947
    [Abstract] [Full Text] [Related]

  • 15. Towards Interpretable Arrhythmia Classification With Human-Machine Collaborative Knowledge Representation.
    Wang J, Li R, Li R, Fu B, Xiao C, Chen DZ.
    IEEE Trans Biomed Eng; 2021 Jul 18; 68(7):2098-2109. PubMed ID: 32946380
    [Abstract] [Full Text] [Related]

  • 16. Medical Decision Support System for Diagnosis of Heart Arrhythmia using DWT and Random Forests Classifier.
    Alickovic E, Subasi A.
    J Med Syst; 2016 Apr 18; 40(4):108. PubMed ID: 26922592
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  • 18. Arrhythmia Diagnosis by Using Level-Crossing ECG Sampling and Sub-Bands Features Extraction for Mobile Healthcare.
    Mian Qaisar S, Fawad Hussain S.
    Sensors (Basel); 2020 Apr 16; 20(8):. PubMed ID: 32316133
    [Abstract] [Full Text] [Related]

  • 19. Arrhythmia Classification of ECG Signals Using Hybrid Features.
    Anwar SM, Gul M, Majid M, Alnowami M.
    Comput Math Methods Med; 2018 Apr 16; 2018():1380348. PubMed ID: 30538768
    [Abstract] [Full Text] [Related]

  • 20. A Novel Approach for Multi-Lead ECG Classification Using DL-CCANet and TL-CCANet.
    Yang W, Si Y, Wang D, Zhang G.
    Sensors (Basel); 2019 Jul 21; 19(14):. PubMed ID: 31330925
    [Abstract] [Full Text] [Related]

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