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

R. Maestri; G. D. Pinna; P. Allegrini; R. Balocchi; A. Casaleggio; G. D'Addio; M. Ferrario; D. Menicucci; A. Porta; R. Sassi; M. G. Signorini; M. T. La Rovere; S. Cerutti

doi:10.1109/CIC.2005.1588273

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

R. Maestri, G. D. Pinna, P. Allegrini, R. Balocchi, A. Casaleggio, G. D'Addio, M. Ferrario, D. Menicucci, A. Porta, R. Sassi, M. G. Signorini, M. T. La Rovere, S. Cerutti

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We computed 3 linear and 20 nonlinear HRV indexes on 24-h Holter recordings from 200 stable CHF patients (age 52+9 yrs, NYHA II-III, LVEF 24+6%) with the aim to assess i) the mutual interrelationships between these indexes and ii) their prognostic value towards cardiac death. We found high correlations between variables, with potential bias in fitting survival models. To overcome this problem a clustering procedure was used, obtaining 11 clusters. Cox analysis showed that seven clusters were significantly associated with the study outcome (p

Original language	English
Title of host publication	Computers in Cardiology
Pages	981-984
Number of pages	4
Volume	32
DOIs	https://doi.org/10.1109/CIC.2005.1588273
Publication status	Published - 2005
Event	Computers in Cardiology, 2005 - Lyon, France Duration: Sep 25 2005 → Sep 28 2005

Other

Other	Computers in Cardiology, 2005
Country/Territory	France
City	Lyon
Period	9/25/05 → 9/28/05

ASJC Scopus subject areas

Cardiology and Cardiovascular Medicine
Software

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10.1109/CIC.2005.1588273

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Maestri, R., Pinna, G. D., Allegrini, P., Balocchi, R., Casaleggio, A., D'Addio, G., Ferrario, M., Menicucci, D., Porta, A., Sassi, R., Signorini, M. G., La Rovere, M. T., & Cerutti, S. (2005). Linear and non-linear indices of heart rate variability in chronic heart failure: Mutual interrelationships and prognostic value. In Computers in Cardiology (Vol. 32, pp. 981-984). [1588273] https://doi.org/10.1109/CIC.2005.1588273

Maestri, R, Pinna, GD, Allegrini, P, Balocchi, R, Casaleggio, A, D'Addio, G, Ferrario, M, Menicucci, D, Porta, A, Sassi, R, Signorini, MG, La Rovere, MT & Cerutti, S 2005, Linear and non-linear indices of heart rate variability in chronic heart failure: Mutual interrelationships and prognostic value. in Computers in Cardiology. vol. 32, 1588273, pp. 981-984, Computers in Cardiology, 2005, Lyon, France, 9/25/05. https://doi.org/10.1109/CIC.2005.1588273

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abstract = "We computed 3 linear and 20 nonlinear HRV indexes on 24-h Holter recordings from 200 stable CHF patients (age 52+9 yrs, NYHA II-III, LVEF 24+6%) with the aim to assess i) the mutual interrelationships between these indexes and ii) their prognostic value towards cardiac death. We found high correlations between variables, with potential bias in fitting survival models. To overcome this problem a clustering procedure was used, obtaining 11 clusters. Cox analysis showed that seven clusters were significantly associated with the study outcome (p",

author = "R. Maestri and Pinna, {G. D.} and P. Allegrini and R. Balocchi and A. Casaleggio and G. D'Addio and M. Ferrario and D. Menicucci and A. Porta and R. Sassi and Signorini, {M. G.} and {La Rovere}, {M. T.} and S. Cerutti",

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doi = "10.1109/CIC.2005.1588273",

language = "English",

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volume = "32",

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AU - Maestri, R.

AU - Pinna, G. D.

AU - Allegrini, P.

AU - Balocchi, R.

AU - Casaleggio, A.

AU - D'Addio, G.

AU - Ferrario, M.

AU - Menicucci, D.

AU - Porta, A.

AU - Sassi, R.

AU - Signorini, M. G.

AU - La Rovere, M. T.

AU - Cerutti, S.

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AB - We computed 3 linear and 20 nonlinear HRV indexes on 24-h Holter recordings from 200 stable CHF patients (age 52+9 yrs, NYHA II-III, LVEF 24+6%) with the aim to assess i) the mutual interrelationships between these indexes and ii) their prognostic value towards cardiac death. We found high correlations between variables, with potential bias in fitting survival models. To overcome this problem a clustering procedure was used, obtaining 11 clusters. Cox analysis showed that seven clusters were significantly associated with the study outcome (p

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BT - Computers in Cardiology

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

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