Linear and non-linear indices of heart rate variability in chronic heart failure: Mutual interrelationships and prognostic value

Computers in Cardiology

Volumn 32, Issue , 2005, Pages 981-984

  Maestri, R ^a   Pinna, G D ^a   Allegrini, P ^b   Balocchi, R ^c   Casaleggio, A ^c   D'Addio, G ^a   Ferrario, M ^d   Menicucci, D ^c   Porta, A ^e   Sassi, R ^d   Signorini, M G ^d   La Rovere, M T ^a   Cerutti, S ^d  

^a IRCCS   (Italy)

^b CNR Consiglio Nazionale delle Ricerche   (Italy)

^c CNR   (Italy)

^d POLITECNICO DI MILANO   (Italy)

^e UNIVERSITY OF MILAN   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

BIOELECTRIC PHENOMENA; BIOMEDICAL EQUIPMENT; CORRELATION METHODS; MEDICAL COMPUTING; METABOLISM; PATIENT TREATMENT;

HEART RATE VARIABILITY (HRV); HOLTERS; NONLINEAR INDICES; NONLINEAR VARIABLES;

CARDIOVASCULAR SYSTEM;

EID: 33847150566     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIC.2005.1588273     Document Type: Conference Paper

References (16)

1. La Rovere MT, Pinna GD, Maestri R, Mortara A, Capomolla S, Febo O, Ferrari R, Franchini M, Gnemmi M, Opasich C, Riccardi PG, Traversi E, Cobelli F. Short-term heart rate variability strongly predicts sudden cardiac death in chronic heart failure patients. Circulation 2003; 107 (4): 565-570.
2. Guzzetti S, La Rovere MT, Pinna GD, Maestri R, Borroni E, Porta A, Mortara A, Malliani A. Different spectral components of 24 h heart rate variability are related to different modes of death in chronic heart failure. Eur Heart J 2005; 26 (4): 357-362.
3. Makikallio TH, Huikuri HV, Hintze U, Videbaek J, Mitrani RD, Castellanos A, Myerburg RJ, Moller M; DIAMOND Study Group (Danish Investigations of Arrhythmia and Mortality ON Dofetilide). Fractal analysis and time- and frequency-domain measures of heart rate variability as predictors of mortality in patients with heart failure. Am J Cardiol 2001; 87: 178-182.
4. Ho KK, Moody GB, Peng CK, Mietus JE, Larson MG, Levy D, Goldberger AL. Predicting survival in heart failure case and control subjects by use of fully automated methods for deriving nonlinear and conventional indices of heart rate dynamics. Circulation 1997; 96 (3): 842-848.
5. Porta A, Guzzetti S, Montano N, Furlan R, Pagani M, Malliani A, Cerutti S. Entropy, entropy rate, and pattern classification as tools to typify complexity in short heart period variability series. IEEE Trans Biomed Eng 2001; 48 (11): 1282-1291.
6. Yang AC, Hseu SS, Yien HW, Goldberger AL, Peng CK. Linguistic Analysis of the human heartbeat using frequency and rank order statistics. Phys Rev Lett 2003; 90 (10): 108103.
7. Allegrini P, Grigolini P, Hamilton P, Palatella L, Raffaelli G. Memory beyond memory in heart beating, a sign of a healthy physiological condition. Physical Review E, Stat Nonlin Soft Matter Phys 2002; 65: 041926.
8. Ferrario M, Signorini M.G., Cerutti S., "Complexity Analysis of 24 Hours Heart Rate Variability Time Series", Proc. of the EMBC 04 Conference, IEEE Press.
9. Richman JS, Moorman JR. Physiological time-series analysis using approximate entropy and sample entropy. Am J Physiol Heart Circ Physiol 2000; 278: H2039-2049.
10. Peng CK, Havlin S, Stanley HE, Goldberger AL. Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series. CHAOS 1995; 5: 82-87.
11. Accardo A, Affinito M, Carrozzi M, Bouquet F. Use of the fractal dimension for the analysis of electroencephalographic time series. Biol Cybern 1997; 77 (5): 339-350.
12. Ivanov PC, Amaral LA, Goldberger AL, Havlin S, Rosenblum MG, Struzik ZR, Stanley HE. Multifractality in human heartbeat dynamics. Nature 1999; 399 (6735): 461-465.
13. Porta A, Baselli G, Guzzetti S, Pagani M, Malliani A, Cerutti S. Prediction of short cardiovascular variability signals based on conditional distribution. IEEE Trans Biomed Eng 2000; 47 (12): 1555-1564.
14. Balocchi R, Menicucci D, Santarcangelo E, Sebastiani L, Gemignani A, Ghelarducci B, Varanini M. Deriving the respiratory sinus arrhythmia from the heartbeat time series using empirical mode decomposition. Chaos, Solitons and Fractals 2004; : 171-177.
15. D'Addio G, Pinna GD, La Rovere MT, Maestri R, Furgi G, Rengo F. Prognostic Value Of Poincarè Plot Indexes In Chronic Heart Failure Patients. Computers in Cardiology, IEEE Computer Society Press 2001; 28: 57-60.
16. Guzzetti S, Borroni E, Garbelli PE, Ceriani E, Della Bella P, Montano N, Cogliati C, Somers VK, Mallani A, Porta A. Symbolic dynamics of heart rate variability: a probe to investigate cardiac autonomic modulation.. Circulation 2005; 112 (4): 465-470.