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Journal Abstract Search

1081 related items for PubMed ID: 34496312

  • 21. 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
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  • 22. [An arrhythmia classification method based on deep learning parallel network model].
    Gan Y, Shi J, Gao L, He W.
    Nan Fang Yi Ke Da Xue Xue Bao; 2021 Aug 31; 41(9):1296-1303. PubMed ID: 34658342
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  • 23. A deep dive into understanding tumor foci classification using multiparametric MRI based on convolutional neural network.
    Zong W, Lee JK, Liu C, Carver EN, Feldman AM, Janic B, Elshaikh MA, Pantelic MV, Hearshen D, Chetty IJ, Movsas B, Wen N.
    Med Phys; 2020 Sep 31; 47(9):4077-4086. PubMed ID: 32449176
    [Abstract] [Full Text] [Related]

  • 24. A Hybrid Deep CNN Model for Abnormal Arrhythmia Detection Based on Cardiac ECG Signal.
    Ullah A, Rehman SU, Tu S, Mehmood RM, Fawad, Ehatisham-Ul-Haq M.
    Sensors (Basel); 2021 Feb 01; 21(3):. PubMed ID: 33535397
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  • 25. CS-based multi-task learning network for arrhythmia reconstruction and classification using ECG signals.
    Tang S, Deng Z.
    Physiol Meas; 2023 Jul 05; 44(7):. PubMed ID: 37336244
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  • 26. 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
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  • 27. A New ECG Denoising Framework Using Generative Adversarial Network.
    Singh P, Pradhan G.
    IEEE/ACM Trans Comput Biol Bioinform; 2021 Oct 01; 18(2):759-764. PubMed ID: 32142452
    [Abstract] [Full Text] [Related]

  • 28. A robust multiple heartbeats classification with weight-based loss based on convolutional neural network and bidirectional long short-term memory.
    Yang M, Liu W, Zhang H.
    Front Physiol; 2022 Oct 01; 13():982537. PubMed ID: 36545286
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  • 29. A transformer-based deep neural network for arrhythmia detection using continuous ECG signals.
    Hu R, Chen J, Zhou L.
    Comput Biol Med; 2022 May 01; 144():105325. PubMed ID: 35227968
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  • 30. Arrhythmia detection in inter-patient ECG signals using entropy rate features and RR intervals with CNN architecture.
    Berrahou N, El Alami A, Mesbah A, El Alami R, Berrahou A.
    Comput Methods Biomech Biomed Engin; 2024 Jul 17; ():1-20. PubMed ID: 39021157
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  • 31. Heartbeat Classification and Arrhythmia Detection Using a Multi-Model Deep-Learning Technique.
    Irfan S, Anjum N, Althobaiti T, Alotaibi AA, Siddiqui AB, Ramzan N.
    Sensors (Basel); 2022 Jul 27; 22(15):. PubMed ID: 35957162
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  • 32. Towards End-to-End ECG Classification With Raw Signal Extraction and Deep Neural Networks.
    Xu SS, Mak MW, Cheung CC.
    IEEE J Biomed Health Inform; 2019 Jul 27; 23(4):1574-1584. PubMed ID: 30235153
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  • 33. Accurate deep neural network model to detect cardiac arrhythmia on more than 10,000 individual subject ECG records.
    Yildirim O, Talo M, Ciaccio EJ, Tan RS, Acharya UR.
    Comput Methods Programs Biomed; 2020 Dec 27; 197():105740. PubMed ID: 32932129
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  • 34. Automatic 12-Leading Electrocardiogram Classification Network with Deformable Convolution.
    Xie Y, Qin L, Tan H, Li X, Liu B, Wang H.
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov 27; 2021():882-885. PubMed ID: 34891431
    [Abstract] [Full Text] [Related]

  • 35. Classification of Continuous ECG Segments - Performance Analysis of a Deep Learning Model.
    Barbosa LCN, Lopes D, Escrivaes I, Moreira AHJ, Carvalho V, Vilaca JL, Morais P.
    Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul 27; 2023():1-4. PubMed ID: 38082961
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  • 36. Convolutional Neural Network With Developmental Memory for Continual Learning.
    Park GM, Yoo SM, Kim JH.
    IEEE Trans Neural Netw Learn Syst; 2021 Jun 27; 32(6):2691-2705. PubMed ID: 32692685
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  • 37. A new approach to detection of ECG arrhythmias: complex discrete wavelet transform based complex valued artificial neural network.
    Ozbay Y.
    J Med Syst; 2009 Dec 27; 33(6):435-45. PubMed ID: 20052896
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  • 38. Constrained transformer network for ECG signal processing and arrhythmia classification.
    Che C, Zhang P, Zhu M, Qu Y, Jin B.
    BMC Med Inform Decis Mak; 2021 Jun 09; 21(1):184. PubMed ID: 34107920
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  • 39. Cardiac Arrhythmia Classification Using Advanced Deep Learning Techniques on Digitized ECG Datasets.
    Sattar S, Mumtaz R, Qadir M, Mumtaz S, Khan MA, De Waele T, De Poorter E, Moerman I, Shahid A.
    Sensors (Basel); 2024 Apr 12; 24(8):. PubMed ID: 38676101
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  • 40. Towards Automated Optimization of Residual Convolutional Neural Networks for Electrocardiogram Classification.
    Fki Z, Ammar B, Ayed MB.
    Cognit Comput; 2023 Feb 15; ():1-11. PubMed ID: 36819737
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