Key result
Multivariate autoregressive spectral analysis and transfer functions can accurately identify transfer relations in cardiovascular control by accounting for its closed-loop nature.
Population
Simulations and experimental data for cardiovascular control analysis
Comparison
Multivariate autoregressive spectral analysis… vs Bivariate AR models (single inputs and outputs)
Design
Other
Authors
Loading...
Transfer functions may aid interpretation of HR/BP variability; leaves open their clinical adoption pending validation.
Multivariate autoregressive models are necessary to accurately interpret cardiovascular control when multiple inputs simultaneously influence a single output, such as heart rate variability.
Barbeiri et al. (1997) studied Cardiovascular control. Multivariate autoregressive spectral analysis was evaluated on Identification of transfer relations in cardiovascular control. Multivariate autoregressive spectral analysis and transfer functions can accurately identify transfer relations in cardiovascular control by accounting for its closed-loop nature.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: