These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


PUBMED FOR HANDHELDS

Journal Abstract Search


365 related items for PubMed ID: 31446318

  • 1.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 2.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 3. Ranking of the most reliable beat morphology and heart rate variability features for the detection of atrial fibrillation in short single-lead ECG.
    Christov I, Krasteva V, Simova I, Neycheva T, Schmid R.
    Physiol Meas; 2018 Sep 24; 39(9):094005. PubMed ID: 30102603
    [Abstract] [Full Text] [Related]

  • 4.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 5. 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 24; 58(4):1113-9. PubMed ID: 21134807
    [Abstract] [Full Text] [Related]

  • 6. Detection of Premature Ventricular Complexes using Semisupervised Autoencoders and Random Forests.
    Kalidas V, Tamil LS.
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul 24; 2020():337-340. PubMed ID: 33017997
    [Abstract] [Full Text] [Related]

  • 7. 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 24; 40(3):707-716. PubMed ID: 28620839
    [Abstract] [Full Text] [Related]

  • 8.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 9. Automatic detection of atrial fibrillation using stationary wavelet transform and support vector machine.
    Asgari S, Mehrnia A, Moussavi M.
    Comput Biol Med; 2015 May 24; 60():132-42. PubMed ID: 25817534
    [Abstract] [Full Text] [Related]

  • 10.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 11.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 12. A novel IRBF-RVM model for diagnosis of atrial fibrillation.
    Kong D, Zhu J, Wu S, Duan C, Lu L, Chen D.
    Comput Methods Programs Biomed; 2019 Aug 24; 177():183-192. PubMed ID: 31319947
    [Abstract] [Full Text] [Related]

  • 13. 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 24; 226(1):3-20. PubMed ID: 22888580
    [Abstract] [Full Text] [Related]

  • 14. A novel atrial fibrillation automatic detection algorithm based on ensemble learning and multi-feature discrimination.
    Wan X, Liu Y, Mei X, Ye J, Zeng C, Chen Y.
    Med Biol Eng Comput; 2024 Jun 24; 62(6):1809-1820. PubMed ID: 38388761
    [Abstract] [Full Text] [Related]

  • 15. Bimodal classification algorithm for atrial fibrillation detection from m-health ECG recordings.
    Kruger GH, Latchamsetty R, Langhals NB, Yokokawa M, Chugh A, Morady F, Oral H, Berenfeld O.
    Comput Biol Med; 2019 Jan 24; 104():310-318. PubMed ID: 30528214
    [Abstract] [Full Text] [Related]

  • 16.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 17.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 18.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 19. Short-term atrial fibrillation detection using electrocardiograms: A comparison of machine learning approaches.
    Jahan MS, Mansourvar M, Puthusserypady S, Wiil UK, Peimankar A.
    Int J Med Inform; 2022 Jul 24; 163():104790. PubMed ID: 35552189
    [Abstract] [Full Text] [Related]

  • 20.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]


    Page: [Next] [New Search]
    of 19.