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Aging reduces complexity of heart rate variability assessed by conditional entropy and symbolic analysis (2012)

  • Authors:
  • USP affiliated authors: MELO, RUTH CALDEIRA DE - EACH
  • USP Schools: EACH
  • DOI: 10.1007/s11739-011-0512-z
  • Subjects: ENVELHECIMENTO; FREQUÊNCIA CARDÍACA
  • Language: Inglês
  • Imprenta:
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    Informações sobre o DOI: 10.1007/s11739-011-0512-z (Fonte: oaDOI API)
    • Este periódico é de assinatura
    • Este artigo NÃO é de acesso aberto
    • Cor do Acesso Aberto: closed
    Versões disponíveis em Acesso Aberto do: 10.1007/s11739-011-0512-z (Fonte: Unpaywall API)

    Título do periódico: Internal and Emergency Medicine

    ISSN: 1828-0447,1970-9366



      Não possui versão em Acesso aberto
    Informações sobre o Citescore
  • Título: Internal and emergency medicine

    ISSN: 1828-0447

    Citescore - 2017: 1.48

    SJR - 2017: 0.735

    SNIP - 2017: 0.709


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    • ABNT

      TAKAHASHI, Anielle Cristhine de Medeiros; PORTA, Alberto; MELO, Ruth Caldeira de; et al. Aging reduces complexity of heart rate variability assessed by conditional entropy and symbolic analysis. Internal and Emergency Medicine, Milan, v. 7, n. ju 2012, p. 229-235, 2012. Disponível em: < http://dx.doi.org/10.1007/s11739-011-0512-z > DOI: 10.1007/s11739-011-0512-z.
    • APA

      Takahashi, A. C. de M., Porta, A., Melo, R. C. de, Quitério, R. J., Silva, E. da, Borghi-Silva, A., et al. (2012). Aging reduces complexity of heart rate variability assessed by conditional entropy and symbolic analysis. Internal and Emergency Medicine, 7( ju 2012), 229-235. doi:10.1007/s11739-011-0512-z
    • NLM

      Takahashi AC de M, Porta A, Melo RC de, Quitério RJ, Silva E da, Borghi-Silva A, Tobaldini E, Montano N, Catai AM. Aging reduces complexity of heart rate variability assessed by conditional entropy and symbolic analysis [Internet]. Internal and Emergency Medicine. 2012 ; 7( ju 2012): 229-235.Available from: http://dx.doi.org/10.1007/s11739-011-0512-z
    • Vancouver

      Takahashi AC de M, Porta A, Melo RC de, Quitério RJ, Silva E da, Borghi-Silva A, Tobaldini E, Montano N, Catai AM. Aging reduces complexity of heart rate variability assessed by conditional entropy and symbolic analysis [Internet]. Internal and Emergency Medicine. 2012 ; 7( ju 2012): 229-235.Available from: http://dx.doi.org/10.1007/s11739-011-0512-z

    Referências citadas na obra
    Malliani A, Montano N (2002) Emerging excitatory role of cardiovascular sympathetic afferents in pathophysiological conditions. Hypertension 39:63–68
    Di Rienzo M, Porta A (2009) Clinical applications of linear and nonlinear components. IEEE Eng Med Biol Mag nov/dic:16–17
    Porta A, Faes L, Masé M et al (2007) An integrated approach based on uniform quantization for the evaluation of complexity of short-term heart period variability: application to 24 h Holter recordings in healthy and heart failure humans. Chaos 17:015117-1–015117-11
    Porta A, Guzzetti S, Furlan R, Gnecchi-Ruscone T, Montano N, Malliani A (2007) Complexity and nonlinearity in short-term heart period variability: comparison of methods based on local nonlinear prediction. IEEE Trans Biomed Eng 54:94–106
    Pincus SM (1995) Approximated entropy (ApEn) as a complexity measure. Chaos 5:110–117
    Pikkujämsä SM, Mäkikallio TH, Sourander LB et al (1999) Cardiac interbeat interval dynamics from childhood to senescence: comparison of conventional and new measures based on fractals and chaos theory. Circulation 100:393–399
    Kaplan DT, Furman M, Pincus SM, Ryan SM, Lipsitz LA, Goldberger AL (1991) Aging and the complexity of cardiovascular dynamics. Biophys J 59:945–949
    Lipsitz LA, Mietus J, Moody GB, Goldberger AL (1990) Spectral characteristics of heart rate variability before and during postural tilt: relations to aging and risk of syncope. Circulation 81:1803–1810
    Lipsitz LA, Goldberger AL (1992) Loss of “complexity” and aging: potential applications of fractals and chaos theory to senescence. JAMA 267:1806–1809
    Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology (1996) Heat rate variability. Standards of measurement, physiological interpretation, and clinical use. Circulation 93:1043–1065
    Melo RC, Quitério RJ, Takahashi ACM, Martins LEB, Silva E, Catai AM (2008) High eccentric training reduces the heart rate variability in healthy older men. Br J Sports Med 42(1):59–63
    Porta A, Tobaldini E, Guzzetti S, Furlan R, Montano N, Gnecchi-Ruscone T (2007) Assessment of cardiac autonomic modulation during graded head-up tilt by symbolic analysis of heart rate variability. Am J Physiol Heart Circ Physiol 293:H702–H708
    Mäkikallio TH, Tapanainen JM, Tulppo MP, Huikuri HV (2002) Clinical applicability of heart rate variability analysis by methods based on nonlinear dynamics. Card Electrophysiol Rev 6:250–255
    Huikuri HV, Mäkikallio TH, Perkiömäki J (2003) Measurement of heart rate variability by methods based on nonlinear dynamics. J Electrocardiol 36:95–99
    Huikuri HV, Makikallio TH, Peng CK, Goldberger AL, Hintze U, Moller M (2000) Fractalcorrelation properties of R–R interval dynamics and mortality in patients with depressed left ventricular function after an acute myocardial infarction. Circulation 101:47–53
    Maestri R, Pinna GD, Accardo A et al (2007) Nonlinear indices of heart rate variability in chronic heart failure patients: redundancy and comparative clinical value. J Cardiovasc Electrophysiol 18:425–433
    Mäkikallio TM, Huikuri HV, Hintze U et al (2001) Fractal analysis and time and frequency domain measures of heart rate variability as predictors of mortality in patients with heart failure. Am J Cardiol 87:178–182
    Maestri R, Pinna GD, Porta A et al (2007) Assessing nonlinear properties of heart rate variability from short-term recordings: are these measurements reliable? Physiol Meas 28:1067–1077
    Porta A, Baselli G, Liberati D et al (1998) Measuring regularity by means of a corrected conditional entropy in sympathetic outflow. Biol Cybern 78:71–78
    Porta A, Baselli G, Guzzetti S, Pagani M, Malliani A, Cerutti S (2000) Prediction of short cardiovascular variability signals based on conditional distribution. IEEE Trans Biomed Eng 47:1555–1564
    Guzzetti S, Borroni E, Garbelli PE et al (2005) Symbolic dynamics of heart rate variability aprobe to investigate cardiac autonomic modulation. Circulation 112:465–470
    Porta A, Gnecchi-Ruscone T, Tobaldini E, Guzzetti S, Furlan R, Montano N (2007) Progressive decrease of heart period variability entropy-based complexity during graded head-uptilt. J Appl Physiol 103:1143–1149
    Silva E, Catai AM, Trevelin LC et al (1994) Design of a computerized system to evaluate the cardiac function during dynamic exercise (abstract). Phys Med Biol 33:409
    Porta A, Guzzetti S, Montano N, Furlan R, Pagani M, Malliani A, Cerutti S (2001) Entropy, entropy rate and pattern classification as tools to typify complexity in short heart periodvariability series. IEEE Trans Biomed Eng 48:1282–1291
    Porta A, Di Rienzo M, Wesswl N, Kurths J (2009) Adressing the complexity of cardiovascular regulation. Pjil Trans R Soc A 367:1215–1218
    Chaves PHM, Varadhan R, Lipsitz LA et al (2008) Physiological complexity underlying heart rate dynamics and frailty status in community-dwelling older women. J Am Geriatr Soc 56:1698–1703
    Fried LP, Xue Q, Cappola AR et al (2009) Nonlinear multisystem physiological dysregulation associated with frailty in older women: implications for etiology and treatment. J Gerontol A Biol Sci Med Sci 64(10):1049–1057
    Lipstiz LA (2004) Physiological complexity, aging, and the path to frailty. Sci Aging Knowl Environ 2004(16):pe16
    Fried LP, Tangen CM, Walston J (2001) Frailty in older adults: evidence for a phenotype. J Gerontol Med Sci 56(3):M146–M156