This study proposes an application of symbolic analysis to beat-to-beat heart rate variability data derived from 24h Holter recordings both in healthy and heart failure populations. Heart rate series are transformed in a sequence of six symbols via a uniform quantization procedure. Symbols are grouped in patterns lasting three cardiac cycles and these patterns are grouped in few (four) families without any loss. The rate of occurrence of these families are found useful to distinguish two physiological conditions characterised by a different status of the autonomic nervous system (i.e. day-time and nigh-time) in healthy subjects and to discriminate between healthy and pathological populations. Indexes derived from symbolic analysis deserve to be added to traditional time and frequency domain parameters in standard analysis of heart rate variability obtained from 24h Holter recordings and tested over larger databases.

Symbolic analysis of 24h Holter heart period variability series: comparison between normal and heart failure patients / A. Porta, G. D'Addio, G.D. Pinna, T. Gnecchi-Ruscone, R. Furlan, N. Montano, S. Guzzetti, A. Malliani. - In: COMPUTERS IN CARDIOLOGY. - ISSN 0276-6574. - 32:(2005), pp. 1588166.575-1588166.578. [10.1109/CIC.2005.1588166]

Symbolic analysis of 24h Holter heart period variability series: comparison between normal and heart failure patients.

A. Porta
Primo
;
R. Furlan;N. Montano;A. Malliani
Ultimo
2005

Abstract

This study proposes an application of symbolic analysis to beat-to-beat heart rate variability data derived from 24h Holter recordings both in healthy and heart failure populations. Heart rate series are transformed in a sequence of six symbols via a uniform quantization procedure. Symbols are grouped in patterns lasting three cardiac cycles and these patterns are grouped in few (four) families without any loss. The rate of occurrence of these families are found useful to distinguish two physiological conditions characterised by a different status of the autonomic nervous system (i.e. day-time and nigh-time) in healthy subjects and to discriminate between healthy and pathological populations. Indexes derived from symbolic analysis deserve to be added to traditional time and frequency domain parameters in standard analysis of heart rate variability obtained from 24h Holter recordings and tested over larger databases.
English
Settore MED/09 - Medicina Interna
Settore ING-INF/06 - Bioingegneria Elettronica e Informatica
Articolo
Esperti anonimi
2005
IEEE Computer Society
32
1588166
575
578
Pubblicato
Periodico con rilevanza internazionale
info:eu-repo/semantics/article
Symbolic analysis of 24h Holter heart period variability series: comparison between normal and heart failure patients / A. Porta, G. D'Addio, G.D. Pinna, T. Gnecchi-Ruscone, R. Furlan, N. Montano, S. Guzzetti, A. Malliani. - In: COMPUTERS IN CARDIOLOGY. - ISSN 0276-6574. - 32:(2005), pp. 1588166.575-1588166.578. [10.1109/CIC.2005.1588166]
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Prodotti della ricerca::01 - Articolo su periodico
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262
Article (author)
Periodico senza Impact Factor
A. Porta, G. D'Addio, G.D. Pinna, T. Gnecchi Ruscone, R. Furlan, N. Montano, S. Guzzetti, A. Malliani
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/9308
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