BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

145 related articles for article (PubMed ID: 1297703)

  • 1. Comparison of autoregression and fast Fourier transform techniques for power spectral analysis of heart period variability of persons with sudden cardiac arrest before and after therapy to increase heart period variability.
    Cowan MJ; Burr RL; Narayanan SB; Buzaitis A; Strasser M; Busch S
    J Electrocardiol; 1992; 25 Suppl():234-9. PubMed ID: 1297703
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A methodological comparison of the Porges algorithm, fast Fourier transform, and autoregressive spectral analysis for the estimation of heart rate variability in 5-month-old infants.
    Poliakova N; Dionne G; Dubreuil E; Ditto B; Pihl RO; PĂ©russe D; Tremblay RE; Boivin M
    Psychophysiology; 2014 Jun; 51(6):579-83. PubMed ID: 24611569
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Frequency-domain heart rate variability in 24-hour Holter recordings: role of spectral method to assess circadian patterns and pharmacological autonomic modulation.
    Badilini F; Maison-Blanche P; Champomier P; Provost JC; Coumel P; Milon H
    J Electrocardiol; 2000 Apr; 33(2):147-57. PubMed ID: 10819408
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A comparison between Walsh and autoregressive derived parameters of heart rate variablity spectra in normal subjects and diabetics.
    Kamal A; Al-Mijalli MH
    Neurosciences (Riyadh); 2001 Apr; 6(2):106-12. PubMed ID: 24185272
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Power spectral analysis of heart rate variability by autoregressive modelling and fast Fourier transform: a comparative study.
    Fagard RH; Pardaens K; Staessen JA; Thijs L
    Acta Cardiol; 1998; 53(4):211-8. PubMed ID: 9842406
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Power spectral analysis of heart rate variability after biofeedback training.
    Cowan MJ; Kogan H; Burr R; Hendershot S; Buchanan L
    J Electrocardiol; 1990; 23 Suppl():85-94. PubMed ID: 2090765
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The ability of several short-term measures of RR variability to predict mortality after myocardial infarction.
    Bigger JT; Fleiss JL; Rolnitzky LM; Steinman RC
    Circulation; 1993 Sep; 88(3):927-34. PubMed ID: 8353919
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Comparison of fast Fourier transform and autoregressive spectral analysis for the study of heart rate variability in diabetic patients.
    Chemla D; Young J; Badilini F; Maison-Blanche P; Affres H; Lecarpentier Y; Chanson P
    Int J Cardiol; 2005 Oct; 104(3):307-13. PubMed ID: 16186061
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The accuracy of power-spectrum analysis of heart-rate variability from annotated RR lists generated by Holter systems.
    Pinna GD; Maestri R; Di Cesare A; Colombo R; Minuco G
    Physiol Meas; 1994 May; 15(2):163-79. PubMed ID: 8081194
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Age-adjusted normal confidence intervals for heart rate variability in healthy subjects during head-up tilt.
    Piccirillo G; Fimognari FL; Viola E; Marigliano V
    Int J Cardiol; 1995 Jun; 50(2):117-24. PubMed ID: 7591322
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Comparison of nonparametric and parametric methods for time-frequency heart rate variability analysis in a rodent model of cardiovascular disease.
    Wong EM; Tablin F; Schelegle ES
    PLoS One; 2020; 15(11):e0242147. PubMed ID: 33166366
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Power spectral density of unevenly sampled data by least-square analysis: performance and application to heart rate signals.
    Laguna P; Moody GB; Mark RG
    IEEE Trans Biomed Eng; 1998 Jun; 45(6):698-715. PubMed ID: 9609935
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comparison of three mobile devices for measuring R-R intervals and heart rate variability: Polar S810i, Suunto t6 and an ambulatory ECG system.
    Weippert M; Kumar M; Kreuzfeld S; Arndt D; Rieger A; Stoll R
    Eur J Appl Physiol; 2010 Jul; 109(4):779-86. PubMed ID: 20225081
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Autoregressive spectral models of heart rate variability. Practical issues.
    Burr RL; Cowan MJ
    J Electrocardiol; 1992; 25 Suppl():224-33. PubMed ID: 1297702
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Measurement of heart rate variability.
    Cowan MJ
    West J Nurs Res; 1995 Feb; 17(1):32-48; discussion 101-11. PubMed ID: 7863645
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Spectral analysis of blood pressure and heart rate variability in evaluating cardiovascular regulation. A critical appraisal.
    Parati G; Saul JP; Di Rienzo M; Mancia G
    Hypertension; 1995 Jun; 25(6):1276-86. PubMed ID: 7768574
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Frequency domain measures of heart period variability to assess risk late after myocardial infarction.
    Bigger JT; Fleiss JL; Rolnitzky LM; Steinman RC
    J Am Coll Cardiol; 1993 Mar; 21(3):729-36. PubMed ID: 8436755
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Time course of recovery of heart period variability after myocardial infarction.
    Bigger JT; Fleiss JL; Rolnitzky LM; Steinman RC; Schneider WJ
    J Am Coll Cardiol; 1991 Dec; 18(7):1643-9. PubMed ID: 1960309
    [TBL] [Abstract][Full Text] [Related]  

  • 19. RR variability in healthy, middle-aged persons compared with patients with chronic coronary heart disease or recent acute myocardial infarction.
    Bigger JT; Fleiss JL; Steinman RC; Rolnitzky LM; Schneider WJ; Stein PK
    Circulation; 1995 Apr; 91(7):1936-43. PubMed ID: 7895350
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Analysis of long term heart rate variability: methods, 1/f scaling and implications.
    Saul JP; Albrecht P; Berger RD; Cohen RJ
    Comput Cardiol; 1988; 14():419-22. PubMed ID: 11542156
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.