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Journal Abstract Search

744 related items for PubMed ID: 31200900

  • 1. A new approach for arrhythmia classification using deep coded features and LSTM networks.
    Yildirim O, Baloglu UB, Tan RS, Ciaccio EJ, Acharya UR.
    Comput Methods Programs Biomed; 2019 Jul; 176():121-133. PubMed ID: 31200900
    [Abstract] [Full Text] [Related]

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

  • 3. 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; 178():135-143. PubMed ID: 31416542
    [Abstract] [Full Text] [Related]

  • 4. A 2-D ECG compression method based on wavelet transform and modified SPIHT.
    Tai SC, Sun CC, Yan WC.
    IEEE Trans Biomed Eng; 2005 Jun; 52(6):999-1008. PubMed ID: 15977730
    [Abstract] [Full Text] [Related]

  • 5. Arrhythmia detection using deep convolutional neural network with long duration ECG signals.
    Yıldırım Ö, Pławiak P, Tan RS, Acharya UR.
    Comput Biol Med; 2018 Nov 01; 102():411-420. PubMed ID: 30245122
    [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. Accurate arrhythmia classification using auto-associative neural network.
    Chakroborty S.
    Annu Int Conf IEEE Eng Med Biol Soc; 2013 Dec 18; 2013():4247-50. PubMed ID: 24110670
    [Abstract] [Full Text] [Related]

  • 8. Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats.
    Oh SL, Ng EYK, Tan RS, Acharya UR.
    Comput Biol Med; 2018 Nov 01; 102():278-287. PubMed ID: 29903630
    [Abstract] [Full Text] [Related]

  • 9. 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]

  • 10. A joint QRS detection and data compression scheme for wearable sensors.
    Deepu CJ, Lian Y.
    IEEE Trans Biomed Eng; 2015 Jan 29; 62(1):165-75. PubMed ID: 25073164
    [Abstract] [Full Text] [Related]

  • 11. The effect of lossy ECG compression on QRS and HRV feature extraction.
    Twomey N, Walsh N, Doyle O, McGinley B, Glavin M, Jones E, Marnane WP.
    Annu Int Conf IEEE Eng Med Biol Soc; 2010 Jan 29; 2010():634-7. PubMed ID: 21096542
    [Abstract] [Full Text] [Related]

  • 12. Beat-based ECG compression using gain-shape vector quantization.
    Sun CC, Tai SC.
    IEEE Trans Biomed Eng; 2005 Nov 29; 52(11):1882-8. PubMed ID: 16285392
    [Abstract] [Full Text] [Related]

  • 13. 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 29; 197():105740. PubMed ID: 32932129
    [Abstract] [Full Text] [Related]

  • 14. A novel ECG signal compression method using spindle convolutional auto-encoder.
    Wang F, Ma Q, Liu W, Chang S, Wang H, He J, Huang Q.
    Comput Methods Programs Biomed; 2019 Jul 29; 175():139-150. PubMed ID: 31104703
    [Abstract] [Full Text] [Related]

  • 15. Effective high compression of ECG signals at low level distortion.
    Rebollo-Neira L.
    Sci Rep; 2019 Mar 14; 9(1):4564. PubMed ID: 30872627
    [Abstract] [Full Text] [Related]

  • 16. ECG data enhancement method using generate adversarial networks based on Bi-LSTM and CBAM.
    Zhou F, Li J.
    Physiol Meas; 2024 Feb 12; 45(2):. PubMed ID: 38266299
    [Abstract] [Full Text] [Related]

  • 17. Ensemble classifier fostered detection of arrhythmia using ECG data.
    Ramkumar M, Alagarsamy M, Balakumar A, Pradeep S.
    Med Biol Eng Comput; 2023 Sep 12; 61(9):2453-2466. PubMed ID: 37145258
    [Abstract] [Full Text] [Related]

  • 18. A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification.
    Yildirim Ö.
    Comput Biol Med; 2018 May 01; 96():189-202. PubMed ID: 29614430
    [Abstract] [Full Text] [Related]

  • 19. ECG-based cardiac arrhythmias detection through ensemble learning and fusion of deep spatial-temporal and long-range dependency features.
    Din S, Qaraqe M, Mourad O, Qaraqe K, Serpedin E.
    Artif Intell Med; 2024 Apr 01; 150():102818. PubMed ID: 38553158
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  • 20. ECG signal classification in wearable devices based on compressed domain.
    Hua J, Chu B, Zou J, Jia J.
    PLoS One; 2023 Apr 01; 18(4):e0284008. PubMed ID: 37014879
    [Abstract] [Full Text] [Related]

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