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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

229 related items for PubMed ID: 34956556

  • 21. Multi-information fusion neural networks for arrhythmia automatic detection.
    Chen A, Wang F, Liu W, Chang S, Wang H, He J, Huang Q.
    Comput Methods Programs Biomed; 2020 Sep; 193():105479. PubMed ID: 32388066
    [Abstract] [Full Text] [Related]

  • 22. ECG classification using 1-D convolutional deep residual neural network.
    Khan F, Yu X, Yuan Z, Rehman AU.
    PLoS One; 2023 Sep; 18(4):e0284791. PubMed ID: 37098024
    [Abstract] [Full Text] [Related]

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

  • 24. A novel transformer-based ECG dimensionality reduction stacked auto-encoders for arrhythmia beat detection.
    Ding C, Wang S, Jin X, Wang Z, Wang J.
    Med Phys; 2023 Sep; 50(9):5897-5912. PubMed ID: 37470489
    [Abstract] [Full Text] [Related]

  • 25. Automated ECG classification using a non-local convolutional block attention module.
    Wang J, Qiao X, Liu C, Wang X, Liu Y, Yao L, Zhang H.
    Comput Methods Programs Biomed; 2021 May; 203():106006. PubMed ID: 33735660
    [Abstract] [Full Text] [Related]

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

  • 27. An Arrhythmia Classification Model Based on a CNN-LSTM-SE Algorithm.
    Sun A, Hong W, Li J, Mao J.
    Sensors (Basel); 2024 Sep 29; 24(19):. PubMed ID: 39409344
    [Abstract] [Full Text] [Related]

  • 28. A stacked contractive denoising auto-encoder for ECG signal denoising.
    Xiong P, Wang H, Liu M, Lin F, Hou Z, Liu X.
    Physiol Meas; 2016 Dec 29; 37(12):2214-2230. PubMed ID: 27869101
    [Abstract] [Full Text] [Related]

  • 29. 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 29; 236():107560. PubMed ID: 37116424
    [Abstract] [Full Text] [Related]

  • 30. [Electrocardiogram signal classification algorithm of nested long short-term memory network based on focal loss function].
    Xu S, Mo S, Yan H, Huang H, Wu J, Zhang S, Yang L.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2022 Apr 25; 39(2):301-310. PubMed ID: 35523551
    [Abstract] [Full Text] [Related]

  • 31. An ECG Signal Classification Method Based on Dilated Causal Convolution.
    Ma H, Chen C, Zhu Q, Yuan H, Chen L, Shu M.
    Comput Math Methods Med; 2021 Apr 25; 2021():6627939. PubMed ID: 33603825
    [Abstract] [Full Text] [Related]

  • 32. 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 25; 123():103866. PubMed ID: 32658786
    [Abstract] [Full Text] [Related]

  • 33. Ensemble classifier fostered detection of arrhythmia using ECG data.
    Ramkumar M, Alagarsamy M, Balakumar A, Pradeep S.
    Med Biol Eng Comput; 2023 Sep 25; 61(9):2453-2466. PubMed ID: 37145258
    [Abstract] [Full Text] [Related]

  • 34. Arrhythmia Classification with ECG signals based on the Optimization-Enabled Deep Convolutional Neural Network.
    Atal DK, Singh M.
    Comput Methods Programs Biomed; 2020 Nov 25; 196():105607. PubMed ID: 32593973
    [Abstract] [Full Text] [Related]

  • 35. 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]

  • 36. Spectro-Temporal Feature Based Multi-Channel Convolutional Neural Network for ECG Beat Classification.
    Hao C, Wibowo S, Majmudar M, Rajput KS.
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul 01; 2019():5642-5645. PubMed ID: 31947133
    [Abstract] [Full Text] [Related]

  • 37. [Automatic classification method of arrhythmia based on discriminative deep belief networks].
    Song L, Sun D, Wang Q, Wang Y.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2019 Jun 25; 36(3):444-452. PubMed ID: 31232548
    [Abstract] [Full Text] [Related]

  • 38.
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  • 39. A portable household detection system based on the combination of bidirectional LSTM and residual block for automatical arrhythmia detection.
    Huang Z, Yang S, Zou Q, Gao X, Chen B.
    Biomed Tech (Berl); 2024 Apr 25; 69(2):167-179. PubMed ID: 37768977
    [Abstract] [Full Text] [Related]

  • 40. Detection of arrhythmia in 12-lead varied-length ECG using multi-branch signal fusion network.
    Dong Y, Cai W, Qiu L, Guo Y, Chen Y, Zhang M, Wang D, Zhang H, Wang L.
    Physiol Meas; 2022 Oct 31; 43(10):. PubMed ID: 35705072
    [Abstract] [Full Text] [Related]

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