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Journal Abstract Search

234 related items for PubMed ID: 37116424

  • 1. Automated inter-patient arrhythmia classification with dual attention neural network.
    Lyu H, Li X, Zhang J, Zhou C, Tang X, Xu F, Yang Y, Huang Q, Xiang W, Li D.
    Comput Methods Programs Biomed; 2023 Jun; 236():107560. PubMed ID: 37116424
    [Abstract] [Full Text] [Related]

  • 2. Inter-patient automated arrhythmia classification: A new approach of weight capsule and sequence to sequence combination.
    Li X, Zhang J, Chen W, Chen Y, Zhang C, Xiang W, Li D.
    Comput Methods Programs Biomed; 2022 Feb; 214():106533. PubMed ID: 34879327
    [Abstract] [Full Text] [Related]

  • 3. Inter-patient ECG heartbeat classification for arrhythmia classification: a new approach of multi-layer perceptron with weight capsule and sequence-to-sequence combination.
    Zhou C, Li X, Feng F, Zhang J, Lyu H, Wu W, Tang X, Luo B, Li D, Xiang W, Yao D.
    Front Physiol; 2023 Feb; 14():1247587. PubMed ID: 37841320
    [Abstract] [Full Text] [Related]

  • 4. HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN.
    Islam MS, Hasan KF, Sultana S, Uddin S, Lio' P, Quinn JMW, Moni MA.
    Neural Netw; 2023 May; 162():271-287. PubMed ID: 36921434
    [Abstract] [Full Text] [Related]

  • 5. Arrhythmia classification based on multi-feature multi-path parallel deep convolutional neural networks and improved focal loss.
    Ran Z, Jiang M, Li Y, Wang Z, Wu Y, Ke W, Xia L.
    Math Biosci Eng; 2024 Mar 22; 21(4):5521-5535. PubMed ID: 38872546
    [Abstract] [Full Text] [Related]

  • 6. 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]

  • 7. Electrocardiogram heartbeat classification based on a deep convolutional neural network and focal loss.
    Romdhane TF, Alhichri H, Ouni R, Atri M.
    Comput Biol Med; 2020 Aug 18; 123():103866. PubMed ID: 32658786
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  • 9. DE-PNN: Differential Evolution-Based Feature Optimization with Probabilistic Neural Network for Imbalanced Arrhythmia Classification.
    Nasim A, Kim YS.
    Sensors (Basel); 2022 Jun 12; 22(12):. PubMed ID: 35746232
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  • 11. Interpatient ECG Arrhythmia Detection by Residual Attention CNN.
    Xu P, Liu H, Xie X, Zhou S, Shu M, Wang Y.
    Comput Math Methods Med; 2022 Jun 12; 2022():2323625. PubMed ID: 35432590
    [Abstract] [Full Text] [Related]

  • 12. Deep Learning-Based Data Augmentation and Model Fusion for Automatic Arrhythmia Identification and Classification Algorithms.
    Ma S, Cui J, Xiao W, Liu L.
    Comput Intell Neurosci; 2022 Jun 12; 2022():1577778. PubMed ID: 35990162
    [Abstract] [Full Text] [Related]

  • 13. [Heartbeat-based end-to-end classification of arrhythmias].
    Deng L, Fu R.
    Nan Fang Yi Ke Da Xue Xue Bao; 2019 Sep 30; 39(9):1071-1077. PubMed ID: 31640959
    [Abstract] [Full Text] [Related]

  • 14. 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 Sep 30; 2021():6649970. PubMed ID: 34007306
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  • 16. Enhancing ECG Heartbeat classification with feature fusion neural networks and dynamic minority-biased batch weighting loss function.
    Cai J, Song J, Peng B.
    Physiol Meas; 2024 Jul 10; 45(7):. PubMed ID: 38936397
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  • 19. 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 10; 178():135-143. PubMed ID: 31416542
    [Abstract] [Full Text] [Related]

  • 20. 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]

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