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Pubmed for Handhelds

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Journal Abstract Search

410 related items for PubMed ID: 34450733

  • 1. Robust Heartbeat Classification for Wearable Single-Lead ECG via Extreme Gradient Boosting.
    Zhu H, Zhao Y, Pan Y, Xie H, Wu F, Huan R.
    Sensors (Basel); 2021 Aug 05; 21(16):. PubMed ID: 34450733
    [Abstract] [Full Text] [Related]

  • 2. Automated real-time method for ventricular heartbeat classification.
    Ortín S, Soriano MC, Alfaras M, Mirasso CR.
    Comput Methods Programs Biomed; 2019 Feb 05; 169():1-8. PubMed ID: 30638588
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  • 3. A hierarchical method based on weighted extreme gradient boosting in ECG heartbeat classification.
    Shi H, Wang H, Huang Y, Zhao L, Qin C, Liu C.
    Comput Methods Programs Biomed; 2019 Apr 05; 171():1-10. PubMed ID: 30902245
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  • 4. 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 05; 27(13):1906-1919. PubMed ID: 37807947
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  • 6. Interpretation of Electrocardiogram Heartbeat by CNN and GRU.
    Yao G, Mao X, Li N, Xu H, Xu X, Jiao Y, Ni J.
    Comput Math Methods Med; 2021 Oct 05; 2021():6534942. PubMed ID: 34497664
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  • 7. Arrhythmia Evaluation in Wearable ECG Devices.
    Sadrawi M, Lin CH, Lin YT, Hsieh Y, Kuo CC, Chien JC, Haraikawa K, Abbod MF, Shieh JS.
    Sensors (Basel); 2017 Oct 25; 17(11):. PubMed ID: 29068369
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  • 10. 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
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  • 11. Multi-label Arrhythmia Classification from Fixed-length Compressed ECG Segments in Real-time Wearable ECG Monitoring.
    Cheng Y, Ye Y, Hou M, He W, Pan T.
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul 25; 2020():580-583. PubMed ID: 33018055
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  • 12. An Efficient ECG Classification System Using Resource-Saving Architecture and Random Forest.
    Kung BH, Hu PY, Huang CC, Lee CC, Yao CY, Kuan CH.
    IEEE J Biomed Health Inform; 2021 Jun 25; 25(6):1904-1914. PubMed ID: 33136548
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  • 13. Severity-Based Hierarchical ECG Classification Using Neural Networks.
    Diware S, Dash S, Gebregiorgis A, Joshi RV, Strydis C, Hamdioui S, Bishnoi R.
    IEEE Trans Biomed Circuits Syst; 2023 Feb 25; 17(1):77-91. PubMed ID: 37015138
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  • 15. Patient-Specific Heartbeat Classification in Single-Lead ECG using Convolutional Neural Network.
    Merdjanovska E, Rashkovska A.
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov 25; 2021():932-936. PubMed ID: 34891443
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  • 16. Automatic classification of heartbeats using ECG morphology and heartbeat interval features.
    de Chazal P, O'Dwyer M, Reilly RB.
    IEEE Trans Biomed Eng; 2004 Jul 25; 51(7):1196-206. PubMed ID: 15248536
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  • 17. Toward continuous ambulatory monitoring using a wearable and wireless ECG- recording system: a study on the effects of signal quality on arrhythmia detection.
    Tanantong T, Nantajeewarawat E, Thiemjarus S.
    Biomed Mater Eng; 2014 Jul 25; 24(1):391-404. PubMed ID: 24211921
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