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Journal Abstract Search

195 related items for PubMed ID: 24025075

  • 1. A practical reconstructed phase space approach for ECG arrhythmias classification.
    Al-Fahoum AS, Qasaimeh AM.
    J Med Eng Technol; 2013 Oct; 37(7):401-8. PubMed ID: 24025075
    [Abstract] [Full Text] [Related]

  • 2. Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal.
    Asl BM, Setarehdan SK, Mohebbi M.
    Artif Intell Med; 2008 Sep; 44(1):51-64. PubMed ID: 18585905
    [Abstract] [Full Text] [Related]

  • 3. [Detecting cardiac arrhythmias based on phase space analysis].
    Sun R, Wang Y, Yang S, Fang Z.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2008 Aug; 25(4):934-7, 949. PubMed ID: 18788312
    [Abstract] [Full Text] [Related]

  • 4. [An algorithm study on telecardiogram diagnosis based on multivariate autoregressive model and two-lead ECG signals].
    Ge DF, Shao YQ, Jiang HZ.
    Space Med Med Eng (Beijing); 2004 Oct; 17(5):355-9. PubMed ID: 15926234
    [Abstract] [Full Text] [Related]

  • 5. A quantitative analysis approach for cardiac arrhythmia classification using higher order spectral techniques.
    Khadra L, Al-Fahoum AS, Binajjaj S.
    IEEE Trans Biomed Eng; 2005 Nov; 52(11):1840-5. PubMed ID: 16285387
    [Abstract] [Full Text] [Related]

  • 6. Automated Method for Discrimination of Arrhythmias Using Time, Frequency, and Nonlinear Features of Electrocardiogram Signals.
    Hajeb-Mohammadalipour S, Ahmadi M, Shahghadami R, Chon KH.
    Sensors (Basel); 2018 Jun 29; 18(7):. PubMed ID: 29966276
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  • 8. An arrhythmia classification system based on the RR-interval signal.
    Tsipouras MG, Fotiadis DI, Sideris D.
    Artif Intell Med; 2005 Mar 29; 33(3):237-50. PubMed ID: 15811788
    [Abstract] [Full Text] [Related]

  • 9. Detection of life-threatening arrhythmias using feature selection and support vector machines.
    Alonso-Atienza F, Morgado E, Fernández-Martínez L, García-Alberola A, Rojo-Álvarez JL.
    IEEE Trans Biomed Eng; 2014 Mar 29; 61(3):832-40. PubMed ID: 24239968
    [Abstract] [Full Text] [Related]

  • 10. Sequential algorithm for life threatening cardiac pathologies detection based on mean signal strength and EMD functions.
    Anas EM, Lee SY, Hasan MK.
    Biomed Eng Online; 2010 Sep 04; 9():43. PubMed ID: 20815909
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  • 13. Ventricular fibrillation and tachycardia classification using a machine learning approach.
    Li Q, Rajagopalan C, Clifford GD.
    IEEE Trans Biomed Eng; 2014 Jun 04; 61(6):1607-13. PubMed ID: 23899591
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  • 15. Study of features based on nonlinear dynamical modeling in ECG arrhythmia detection and classification.
    Owis MI, Abou-Zied AH, Youssef AB, Kadah YM.
    IEEE Trans Biomed Eng; 2002 Jul 04; 49(7):733-6. PubMed ID: 12083309
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  • 17. The differential method of phase space matrix for AF/VF discrimination application.
    Liu CS, Tseng WK, Lee JK, Hsiao TC, Lin CW.
    Med Eng Phys; 2010 Jun 04; 32(5):444-53. PubMed ID: 20430678
    [Abstract] [Full Text] [Related]

  • 18. A fuzzy clustering neural network architecture for classification of ECG arrhythmias.
    Ozbay Y, Ceylan R, Karlik B.
    Comput Biol Med; 2006 Apr 04; 36(4):376-88. PubMed ID: 15878480
    [Abstract] [Full Text] [Related]

  • 19. Predicting the spontaneous termination of atrial fibrillation based on poincare section in the electrocardiogram phase space.
    Parvaneh S, Golpayegani MR, Firoozabadi M, Haghjoo M.
    Proc Inst Mech Eng H; 2012 Jan 04; 226(1):3-20. PubMed ID: 22888580
    [Abstract] [Full Text] [Related]

  • 20. Classification of the electrocardiogram signals using supervised classifiers and efficient features.
    Zadeh AE, Khazaee A, Ranaee V.
    Comput Methods Programs Biomed; 2010 Aug 04; 99(2):179-94. PubMed ID: 20510478
    [Abstract] [Full Text] [Related]

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