Key result
A closed-loop model using heart rate, arterial blood pressure, and respiratory movement signals was developed to evaluate neural regulatory activities and identify physiological interactions.
The proposed closed-loop model identification procedure provides a framework for evaluating neural regulatory activities from cardiovascular variability signals.
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May enable noninvasive autonomic assessment from routine signals; leaves open clinical validation before practice adoption.
Baselli et al. (1988) studied Cardiovascular variability. Closed-loop model of neural control mechanisms was evaluated on Identifiability of the transfer function of the model. A closed-loop model using heart rate, arterial blood pressure, and respiratory movement signals was developed to evaluate neural regulatory activities and identify physiological interactions.
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