Data di Pubblicazione:
1993
Citazione:
Multivariate ARMA spectral decomposition in the assessment of cardiovascular variabilities / G. Baselli, A. Porta, G. Ferrari, S. Cerutti, O. Rimoldi, M. Pagani, A. Malliani. - In: COMPUTERS IN CARDIOLOGY. - ISSN 0276-6574. - 20:(1993), pp. 731-734.
Abstract:
Multi-variate spectral analysis is able to describe the interactions between heart rate and arterial pressure variabilities; therefore, it provides a spectral decomposition based on which signal is driven more directly or on which closed-loop resonance is involved. So, it provides further insight in the genesis of rhythms, beyond the classical definition of low frequency (LF) and high frequency (HF) components related to mono-variate spectral analysis. The method of spectral decomposition is presented both for the identification of bi-variate autoregressive models, which is a general signal processing tool, and for a dynamic adjustment model specific for cardiovascular variabilities. Preliminary results on conscious dogs under various sympathetic stimuli enhancing LF rhythms confirm the existence of different mechanisms which contribute to these waves.
Tipologia IRIS:
01 - Articolo su periodico
Elenco autori:
G. Baselli, A. Porta, G. Ferrari, S. Cerutti, O. Rimoldi, M. Pagani, A. Malliani
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