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Titolo:
Advanced spectral methods for detecting dynamic behaviour
Autore:
Cerutti, S; Bianchi, AM; Mainardi, LT;
Indirizzi:
Polytech Univ, Dept Biomed Engn, I-20133 Milan, Italy Polytech Univ Milan Italy I-20133 Dept Biomed Engn, I-20133 Milan, Italy
Titolo Testata:
AUTONOMIC NEUROSCIENCE-BASIC & CLINICAL
fascicolo: 1-2, volume: 90, anno: 2001,
pagine: 3 - 12
SICI:
1566-0702(20010720)90:1-2<3:ASMFDD>2.0.ZU;2-4
Fonte:
ISI
Lingua:
ENG
Soggetto:
CARDIOVASCULAR VARIABILITY SIGNALS; MYOCARDIAL-ISCHEMIA; NERVOUS-SYSTEM; HEART-RATE; TIME;
Keywords:
time-variant spectral analysis; time-frequency distributions; autonomic nervous system; cardiovascular variability signals;
Tipo documento:
Review
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
30
Recensione:
Indirizzi per estratti:
Indirizzo: Cerutti, S Polytech Univ, Dept Biomed Engn, Piazza Leonardo da Vinci 32, I-20133 Milan, Italy Polytech Univ Piazza Leonardo da Vinci 32 Milan Italy I-20133
Citazione:
S. Cerutti et al., "Advanced spectral methods for detecting dynamic behaviour", AUTON NEURO, 90(1-2), 2001, pp. 3-12

Abstract

The traditional analysis in the frequency domain of cardiovascular variability signals requires stationarity along the considered temporal window, inorder to obtain reliable indicators of the sympatho-vagal balance (low frequency (LF) and high frequency (HF) power and frequency, and LF/HF ratio). Through proper advanced algorithms of signal processing, it is possible to implement methods that allow the enhancement of important parameters about the behaviour of the system under investigation in the time and frequency domain. Both non-parametric and parametric time-frequency methods are generally employed at this purpose. Among them, Wigner-Ville Distribution and Time-Variant Autoregressive models are here described. Through such advanced methods of signal processing, ii is possible to investigate the dynamic properties of the spectral parameters during transient physiological or pathological episodes, after a proper validation using simulated signals. The methods are used in various applicative areas of interest where the spectral parameters present a significant change in time and where the classical spectral analysis cannot be correctly applied. A few significant cases will be discussed such as tilting manoeuvre, vaso-vagal syncope onset and progression, and acute ischemic episodes. Further, multivariate analysis can be applied in which the focus is on squared coherence function and phase relationships, in order to estimate some possible causal effects in different experimental conditions. It is believed that such advanced methods of time-variant or time-frequency approaches are capable of overcoming the problem of stationarity in classical spectral analysis and to make applicable frequency domain techniques in the study of transient episodes which generally characterise various physiological and clinical conditions. (C) 2001 Elsevier Science B.V. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 24/01/20 alle ore 15:17:47