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PUBMED FOR HANDHELDS

Journal Abstract Search


344 related items for PubMed ID: 21134807

  • 1. A novel method for detection of the transition between atrial fibrillation and sinus rhythm.
    Huang C, Ye S, Chen H, Li D, He F, Tu Y.
    IEEE Trans Biomed Eng; 2011 Apr; 58(4):1113-9. PubMed ID: 21134807
    [Abstract] [Full Text] [Related]

  • 2. Time-varying coherence function for atrial fibrillation detection.
    Lee J, Nam Y, McManus DD, Chon KH.
    IEEE Trans Biomed Eng; 2013 Oct; 60(10):2783-93. PubMed ID: 23708769
    [Abstract] [Full Text] [Related]

  • 3. A simple method to detect atrial fibrillation using RR intervals.
    Lian J, Wang L, Muessig D.
    Am J Cardiol; 2011 May 15; 107(10):1494-7. PubMed ID: 21420064
    [Abstract] [Full Text] [Related]

  • 4. Improvements in atrial fibrillation detection for real-time monitoring.
    Babaeizadeh S, Gregg RE, Helfenbein ED, Lindauer JM, Zhou SH.
    J Electrocardiol; 2009 May 15; 42(6):522-6. PubMed ID: 19608194
    [Abstract] [Full Text] [Related]

  • 5. 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 15; 32(5):444-53. PubMed ID: 20430678
    [Abstract] [Full Text] [Related]

  • 6. Probability density distribution of delta RR intervals: a novel method for the detection of atrial fibrillation.
    Li Y, Tang X, Wang A, Tang H.
    Australas Phys Eng Sci Med; 2017 Sep 15; 40(3):707-716. PubMed ID: 28620839
    [Abstract] [Full Text] [Related]

  • 7. Automatic real time detection of atrial fibrillation.
    Dash S, Chon KH, Lu S, Raeder EA.
    Ann Biomed Eng; 2009 Sep 15; 37(9):1701-9. PubMed ID: 19533358
    [Abstract] [Full Text] [Related]

  • 8. Classification of cardiac rhythm using heart rate dynamical measures: validation in MIT-BIH databases.
    Carrara M, Carozzi L, Moss TJ, de Pasquale M, Cerutti S, Lake DE, Moorman JR, Ferrario M.
    J Electrocardiol; 2015 Sep 15; 48(6):943-6. PubMed ID: 26320371
    [Abstract] [Full Text] [Related]

  • 9. RR interval analysis for detection of Atrial Fibrillation in ECG monitors.
    Ghodrati A, Murray B, Marinello S.
    Annu Int Conf IEEE Eng Med Biol Soc; 2008 Sep 15; 2008():601-4. PubMed ID: 19162727
    [Abstract] [Full Text] [Related]

  • 10. A probability density function method for detecting atrial fibrillation using R-R intervals.
    Hong-Wei L, Ying S, Min L, Pi-Ding L, Zheng Z.
    Med Eng Phys; 2009 Jan 15; 31(1):116-23. PubMed ID: 18554974
    [Abstract] [Full Text] [Related]

  • 11. Development of a toolbox for electrocardiogram-based interpretation of atrial fibrillation.
    Abächerli R, Leber R, Lemay M, Vesin JM, van Oosterom A, Schmid HJ, Kappenberger L.
    J Electrocardiol; 2009 Jan 15; 42(6):517-21. PubMed ID: 19698953
    [Abstract] [Full Text] [Related]

  • 12. Predicting termination of atrial fibrillation based on the structure and quantification of the recurrence plot.
    Sun R, Wang Y.
    Med Eng Phys; 2008 Nov 15; 30(9):1105-11. PubMed ID: 18343707
    [Abstract] [Full Text] [Related]

  • 13. High accuracy in automatic detection of atrial fibrillation for Holter monitoring.
    Jiang K, Huang C, Ye SM, Chen H.
    J Zhejiang Univ Sci B; 2012 Sep 15; 13(9):751-6. PubMed ID: 22949366
    [Abstract] [Full Text] [Related]

  • 14. Heart rate variability measures during sinus rhythm predict cycle length entropy during atrial fibrillation.
    Segerson NM, Smith ML, Wasmund SL, Lux RL, Daccarett M, Hamdan MH.
    J Cardiovasc Electrophysiol; 2008 Oct 15; 19(10):1031-6. PubMed ID: 18462335
    [Abstract] [Full Text] [Related]

  • 15. Predicting spontaneous termination of atrial fibrillation using the surface ECG.
    Nilsson F, Stridh M, Bollmann A, Sörnmo L.
    Med Eng Phys; 2006 Oct 15; 28(8):802-8. PubMed ID: 16442328
    [Abstract] [Full Text] [Related]

  • 16. Frequency tracking of atrial fibrillation using hidden Markov models.
    Sandberg F, Stridh M, Sörnmo L.
    IEEE Trans Biomed Eng; 2008 Feb 15; 55(2 Pt 1):502-11. PubMed ID: 18269985
    [Abstract] [Full Text] [Related]

  • 17. Study of atrial activities for abnormality detection by phase rectified signal averaging technique.
    Maji U, Pal S, Mitra M.
    J Med Eng Technol; 2015 Feb 15; 39(5):291-302. PubMed ID: 26084877
    [Abstract] [Full Text] [Related]

  • 18. Detection of atrial fibrillation episodes using SVM.
    Mohebbi M, Ghassemian H.
    Annu Int Conf IEEE Eng Med Biol Soc; 2008 Feb 15; 2008():177-80. PubMed ID: 19162622
    [Abstract] [Full Text] [Related]

  • 19. Automatic detection of atrial fibrillation using stationary wavelet transform and support vector machine.
    Asgari S, Mehrnia A, Moussavi M.
    Comput Biol Med; 2015 May 15; 60():132-42. PubMed ID: 25817534
    [Abstract] [Full Text] [Related]

  • 20. Towards automatic detection of atrial fibrillation: A hybrid computational approach.
    Yaghouby F, Ayatollahi A, Bahramali R, Yaghouby M, Alavi AH.
    Comput Biol Med; 2010 May 15; 40(11-12):919-30. PubMed ID: 21051039
    [Abstract] [Full Text] [Related]


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