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Journal Abstract Search


147 related items for PubMed ID: 17061935

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  • 4. Renyi entropy measures of heart rate Gaussianity.
    Lake DE.
    IEEE Trans Biomed Eng; 2006 Jan; 53(1):21-7. PubMed ID: 16402599
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  • 6. 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 Jan; 41(4):287-91. PubMed ID: 18367200
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  • 7. Compression entropy contributes to risk stratification in patients with cardiomyopathy.
    Truebner S, Cygankiewicz I, Schroeder R, Baumert M, Vallverdú M, Caminal P, Vazquez R, Bayés de Luna A, Voss A.
    Biomed Tech (Berl); 2006 Jul; 51(2):77-82. PubMed ID: 16915769
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  • 8. Structural relationships between measures based on heart beat intervals: potential for improved risk assessment.
    Hallstrom AP, Stein PK, Schneider R, Hodges M, Schmidt G, Ulm K.
    IEEE Trans Biomed Eng; 2004 Aug; 51(8):1414-20. PubMed ID: 15311827
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  • 9. Circadian and ultradian rhythms in heart rate variability.
    Stein PK, Domitrovich PP, Lundequam EJ, Duntley SP, Freedland KE, Carney RM.
    Biomed Tech (Berl); 2006 Oct; 51(4):155-8. PubMed ID: 17061928
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  • 10. Clinical correlates of non-linear indices of heart rate variability in chronic heart failure patients.
    Maestri R, Pinna GD, Balocchi R, D'Addio G, Ferrario M, Porta A, Sassi R, Signorini MG, La Rovere MT.
    Biomed Tech (Berl); 2006 Oct; 51(4):220-3. PubMed ID: 17061943
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  • 11. A new heart rate variability analysis method by means of quantifying the variation of nonlinear dynamic patterns.
    Ding H, Crozier S, Wilson S.
    IEEE Trans Biomed Eng; 2007 Sep; 54(9):1590-7. PubMed ID: 17867351
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  • 12. Normalized correlation dimension for heart rate variability analysis.
    Raab C, Kurths J, Schirdewan A, Wessel N.
    Biomed Tech (Berl); 2006 Oct; 51(4):229-32. PubMed ID: 17061945
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  • 13. Revisiting the potential of time-domain indexes in short-term HRV analysis.
    Balocchi R, Cantini F, Varanini M, Raimondi G, Legramante JM, Macerata A.
    Biomed Tech (Berl); 2006 Oct; 51(4):190-3. PubMed ID: 17061936
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  • 14. 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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  • 15. Investigation of the effects of ischemic preconditioning on the HRV response to transient global ischemia using linear and nonlinear methods.
    Moraru L, Tong S, Malhotra A, Geocadin R, Thakor N, Bezerianos A.
    Med Eng Phys; 2005 Jul; 27(6):465-73. PubMed ID: 15990063
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  • 16. Potential of feature selection methods in heart rate variability analysis for the classification of different cardiovascular diseases.
    Schumann A, Wessel N, Schirdewan A, Osterziel KJ, Voss A.
    Stat Med; 2002 Aug 15; 21(15):2225-42. PubMed ID: 12210635
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  • 17. [Assessment of heart rate variability in patients after myocardial infarct].
    Lakusić N, Milicević G, Mahović D, Cerovec D, Baborski F, Kurnik R, Majsec M.
    Lijec Vjesn; 2001 Aug 15; 123(5-6):120-3. PubMed ID: 11554110
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  • 18. Estimation of HRV spectrogram using multiple window methods focussing on the high frequency power.
    Hansson M, Jönsson P.
    Med Eng Phys; 2006 Oct 15; 28(8):749-61. PubMed ID: 16443384
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  • 19. Factors influencing and significance of ST-segment deviation in lead aVR in acute inferior wall ST-elevation myocardial infarction.
    Zhong-qun Z, Nikus KC.
    J Electrocardiol; 2010 Oct 15; 43(4):288-93. PubMed ID: 20381063
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  • 20. Non-linear dynamic analysis of the cardiac rhythm during transient myocardial ischemia.
    Gomis P, Caminal P, Vallverdú M, Warren S, Wagner G.
    Biomed Tech (Berl); 2006 Oct 15; 51(4):178-81. PubMed ID: 17061933
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