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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

95 related articles for article (PubMed ID: 15718406)

  • 1. New approach to the statistical analysis of cardiovascular data.
    Norton MR; Sloan RP; Bagiella E
    J Appl Physiol (1985); 2005 Jun; 98(6):2298-303. PubMed ID: 15718406
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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; 28(6):263-72. PubMed ID: 15513744
    [TBL] [Abstract][Full Text] [Related]  

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

  • 4. Fine structure of the low-frequency spectra of heart rate and blood pressure.
    Kuusela TA; Kaila TJ; Kähönen M
    BMC Physiol; 2003 Oct; 3():11. PubMed ID: 14552660
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Noninvasive measurement of blood pressure variability: accuracy of the Finometer monitor and comparison with the Finapres device.
    Maestri R; Pinna GD; Robbi E; Capomolla S; La Rovere MT
    Physiol Meas; 2005 Dec; 26(6):1125-36. PubMed ID: 16311459
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Relationships among spectral measures of baroreflex sensitivity and indices of cardiac vagal control.
    Merritt MM; Sollers JJ; Evans MK; Zonderman AB; Thayer JF
    Biomed Sci Instrum; 2003; 39():193-8. PubMed ID: 12724893
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Causal cross-spectral analysis of heart rate and blood pressure variability for describing the impairment of the cardiovascular control in neurally mediated syncope.
    Faes L; Widesott L; Del Greco M; Antolini R; Nollo G
    IEEE Trans Biomed Eng; 2006 Jan; 53(1):65-73. PubMed ID: 16402604
    [TBL] [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; 41(4):287-91. PubMed ID: 18367200
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Optimal filter design to compute the mean of cardiovascular pressure signals.
    Ellis T; McNames J; Goldstein B
    IEEE Trans Biomed Eng; 2008 Apr; 55(4):1399-407. PubMed ID: 18390331
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Understanding blood pressure variability: spectral indices as a function of gender and age.
    Sollers JJ; Merritt MM; Silver RA; Evans MK; Zonderman AB; Thayer JF
    Biomed Sci Instrum; 2005; 41():43-7. PubMed ID: 15850080
    [TBL] [Abstract][Full Text] [Related]  

  • 11. What does measure the scaling exponent of the correlation sum in the case of human heart rate?
    Säkki M; Kalda J; Vainu M; Laan M
    Chaos; 2004 Mar; 14(1):138-44. PubMed ID: 15003054
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Comparison of three methods for beat-to-beat-interval extraction from continuous blood pressure and electrocardiogram with respect to heart rate variability analysis.
    Suhrbier A; Heringer R; Walther T; Malberg H; Wessel N
    Biomed Tech (Berl); 2006 Jul; 51(2):70-6. PubMed ID: 16915768
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Autonomic cardiac control in animal models of cardiovascular diseases. I. Methods of variability analysis.
    Wessel N; Bauernschmitt R; Wernicke D; Kurths J; Malberg H
    Biomed Tech (Berl); 2007 Feb; 52(1):43-9. PubMed ID: 17313333
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Kullback-Leibler clustering of continuous wavelet transform measures of heart rate variability.
    Mager DE; Merritt MM; Kasturi J; Witkin LR; Urdiqui-Macdonald M; Sollers JJ; Evans MK; Zonderman AB; Abernethy DR; Thayer JF
    Biomed Sci Instrum; 2004; 40():337-42. PubMed ID: 15133981
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Wavelet packet transform for R-R interval variability.
    Tanaka K; Hargens AR
    Med Eng Phys; 2004 May; 26(4):313-9. PubMed ID: 15121056
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Hidden Markov models based on symbolic dynamics for statistical modeling of cardiovascular control in hypertensive pregnancy disorders.
    Baier V; Baumert M; Caminal P; Vallverdú M; Faber R; Voss A
    IEEE Trans Biomed Eng; 2006 Jan; 53(1):140-3. PubMed ID: 16402614
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Classification of cardiovascular time series based on different coupling structures using recurrence networks analysis.
    Ramírez Ávila GM; Gapelyuk A; Marwan N; Walther T; Stepan H; Kurths J; Wessel N
    Philos Trans A Math Phys Eng Sci; 2013 Aug; 371(1997):20110623. PubMed ID: 23858486
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Assessment of pulse rate variability by the method of pulse frequency demodulation.
    Hayano J; Barros AK; Kamiya A; Ohte N; Yasuma F
    Biomed Eng Online; 2005 Nov; 4():62. PubMed ID: 16259639
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An improved windowing technique for heart rate variability power spectrum estimation.
    Singh D; Vinod K; Saxena SC; Deepak KK
    J Med Eng Technol; 2005; 29(2):95-101. PubMed ID: 15804859
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.