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120 related items for PubMed ID: 17946481

  • 1. 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; 2006():1792-5. PubMed ID: 17946481
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  • 2. 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
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  • 5. 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
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  • 6. [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
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  • 8. Quantifying errors in spectral estimates of HRV due to beat replacement and resampling.
    Clifford GD, Tarassenko L.
    IEEE Trans Biomed Eng; 2005 Apr; 52(4):630-8. PubMed ID: 15825865
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  • 9. Spectral analysis of heart rate variability with the autoregressive method: what model order to choose?
    Dantas EM, Sant'Anna ML, Andreão RV, Gonçalves CP, Morra EA, Baldo MP, Rodrigues SL, Mill JG.
    Comput Biol Med; 2012 Feb; 42(2):164-70. PubMed ID: 22136799
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  • 10. 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
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  • 12. Unique very low-frequency heart rate variability during deep sleep in humans.
    Togo F, Kiyono K, Struzik ZR, Yamamoto Y.
    IEEE Trans Biomed Eng; 2006 Jan; 53(1):28-34. PubMed ID: 16402600
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  • 13. 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
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  • 16. Modelling long-term heart rate variability: an ARFIMA approach.
    Leite AS, Rocha AP, Silva ME, Costa O.
    Biomed Tech (Berl); 2006 Oct; 51(4):215-9. PubMed ID: 17061942
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  • 17. Detection of nonlinearity in cardiovascular variability signals using cyclostationary analysis.
    Seydnejad S.
    Ann Biomed Eng; 2007 May; 35(5):744-54. PubMed ID: 17372836
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  • 18. A differential autoregressive modeling approach within a point process framework for non-stationary heartbeat intervals analysis.
    Chen Z, Purdon PL, Brown EN, Barbieri R.
    Annu Int Conf IEEE Eng Med Biol Soc; 2010 May; 2010():3567-70. PubMed ID: 21096829
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