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Journal Abstract Search

158 related items for PubMed ID: 19963704

  • 1. Time-varying spectrum estimation of heart rate variability signals with Kalman smoother algorithm.
    Tarvainen MP, Georgiadis S, Lipponen JA, Hakkarainen M, Karjalainen PA.
    Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():1-4. PubMed ID: 19963704
    [Abstract] [Full Text] [Related]

  • 2. Time-varying analysis of heart rate variability signals with a Kalman smoother algorithm.
    Tarvainen MP, Georgiadis SD, Ranta-Aho PO, Karjalainen PA.
    Physiol Meas; 2006 Mar; 27(3):225-39. PubMed ID: 16462010
    [Abstract] [Full Text] [Related]

  • 3. Effect of considering constant variance time-frequency autoregressive models for HRV analysis.
    Gaitán-Gonzalez MJ, Carrasco-Sosa S, González-Camarena R, Yanez-Suarez O.
    Conf Proc IEEE Eng Med Biol Soc; 2006 Mar; 2006():1792-5. PubMed ID: 17946481
    [Abstract] [Full Text] [Related]

  • 4. Time-varying analysis of heart rate variability with kalman smoother algorithm.
    Tarvainen M, Georgiadis S, Karjalainen P.
    Conf Proc IEEE Eng Med Biol Soc; 2005 Mar; 2005():2718-21. PubMed ID: 17282801
    [Abstract] [Full Text] [Related]

  • 5. Time-evolution of cardiovascular variability during autonomic function tests in physiological investigations.
    Singh D, Saini BS, Kumar V, Deepak KK.
    Conf Proc IEEE Eng Med Biol Soc; 2006 Mar; 2006():1772-5. PubMed ID: 17945667
    [Abstract] [Full Text] [Related]

  • 6. Orthonormal-basis partitioning and time-frequency representation of cardiac rhythm dynamics.
    Aysin B, Chaparro LF, Gravé I, Shusterman V.
    IEEE Trans Biomed Eng; 2005 May; 52(5):878-89. PubMed ID: 15887537
    [Abstract] [Full Text] [Related]

  • 7. The simultaneous recording and analysis both EGG and HRV signals.
    Pietraszek S, Komorowski D.
    Annu Int Conf IEEE Eng Med Biol Soc; 2009 May; 2009():396-9. PubMed ID: 19963965
    [Abstract] [Full Text] [Related]

  • 8. Time domain parameters can be estimated with less statistical error than frequency domain parameters in the analysis of heart rate variability.
    Kuss O, Schumann B, Kluttig A, Greiser KH, Haerting J.
    J Electrocardiol; 2008 May; 41(4):287-91. PubMed ID: 18367200
    [Abstract] [Full Text] [Related]

  • 9. [Analysis of heart rate variability. Mathematical description and practical application].
    Sammito S, Böckelmann I.
    Herz; 2015 Mar; 40 Suppl 1():76-84. PubMed ID: 25298003
    [Abstract] [Full Text] [Related]

  • 10. Estimation of HRV spectrogram using multiple window methods focussing on the high frequency power.
    Hansson M, Jönsson P.
    Med Eng Phys; 2006 Oct; 28(8):749-61. PubMed ID: 16443384
    [Abstract] [Full Text] [Related]

  • 11. Time-varying spectral analysis for comparison of HRV and PPG variability during tilt table test.
    Gil E, Orini M, Bailon R, Vergara JM, Mainardi L, Laguna P.
    Annu Int Conf IEEE Eng Med Biol Soc; 2010 Oct; 2010():3579-82. PubMed ID: 21096832
    [Abstract] [Full Text] [Related]

  • 12. Detection of nonlinearity in cardiovascular variability signals using cyclostationary analysis.
    Seydnejad S.
    Ann Biomed Eng; 2007 May; 35(5):744-54. PubMed ID: 17372836
    [Abstract] [Full Text] [Related]

  • 13. Analysis and processing of heart rate variability by time-frequency representation: quantification of the pedaling frequency modulation.
    Meste O, Blain G, Bermon S.
    Annu Int Conf IEEE Eng Med Biol Soc; 2009 May; 2009():5-8. PubMed ID: 19963448
    [Abstract] [Full Text] [Related]

  • 14. Hilbert-Huang transform for analysis of heart rate variability in cardiac health.
    Li H, Kwong S, Yang L, Huang D, Xiao D.
    IEEE/ACM Trans Comput Biol Bioinform; 2011 May; 8(6):1557-67. PubMed ID: 21383423
    [Abstract] [Full Text] [Related]

  • 15. Dynamic modeling of respiratory sinus arrhythmia component from HRV with multivariate Kalman smoother.
    Kuoppa P, Lipponen JA, Tarvainen MP.
    Annu Int Conf IEEE Eng Med Biol Soc; 2013 May; 2013():1684-7. PubMed ID: 24110029
    [Abstract] [Full Text] [Related]

  • 16. Sampling frequency of the RR interval time series for spectral analysis of heart rate variability.
    Singh D, Vinod K, Saxena SC.
    J Med Eng Technol; 2004 May; 28(6):263-72. PubMed ID: 15513744
    [Abstract] [Full Text] [Related]

  • 17. Kalman smoother based time-varying spectrum estimation of EEG during single agent propofol anesthesia.
    Georgiadis SD, Tarvainen MP, Kaskinoro K, Maksimow A, Kärki T, Jääskeläinen S, Scheinin H, Karjalainen PA.
    Annu Int Conf IEEE Eng Med Biol Soc; 2009 May; 2009():5709-12. PubMed ID: 19963912
    [Abstract] [Full Text] [Related]

  • 18. QT variability and HRV interactions in ECG: quantification and reliability.
    Almeida R, Gouveia S, Rocha AP, Pueyo E, Martínez JP, Laguna P.
    IEEE Trans Biomed Eng; 2006 Jul; 53(7):1317-29. PubMed ID: 16830936
    [Abstract] [Full Text] [Related]

  • 19. Time-varying assessment of heart rate variability parameters using respiratory information.
    Goldoozian LS, Zahedi E, Zarzoso V.
    Comput Biol Med; 2017 Oct 01; 89():355-367. PubMed ID: 28865347
    [Abstract] [Full Text] [Related]

  • 20. Influence of running stride frequency in heart rate variability analysis during treadmill exercise testing.
    Bailón R, Garatachea N, de la Iglesia I, Casajús JA, Laguna P.
    IEEE Trans Biomed Eng; 2013 Jul 01; 60(7):1796-805. PubMed ID: 23358950
    [Abstract] [Full Text] [Related]

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