Abstract
Cardiovascular System Identification (CSI) provides a novel, non-invasive technology for the quantitative characterization of cardiovascular regulation in an individual subject. CSI quantifies physiologic coupling mechanisms by mathematically analyzing the relationship between ongoing second-to-second fluctuations in non-invasively measured physiologic variables such as heart rate and arterial blood pressure (ABP). In this way, important physiologic coupling mechanisms, such as the heart rate baroreflex and other measures of autonomic function, can be quantitatively described. By characterizing each of the coupling mechanisms, one can construct an individualized model of closed-loop cardiovascular regulation for each subject. The CSI approach may be adapted to the number of physiologic signals available for analysis. In general, if one measures n physiologic variables from a subject, then n(n−1) causal couplings can be identified. Thus, as more signals are made available, more physiologic coupling mechanisms may be characterized resulting in a more detailed model of closed-loop cardiovascular regulation.
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© 2000 Springer Science+Business Media Dordrecht
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Mullen, T.J., Mukkamala, S.M.R., Cohen, R.J. (2000). Cardiovascular System Identification. In: Osterhues, HH., Hombach, V., Moss, A.J. (eds) Advances in Noninvasive Electrocardiographic Monitoring Techniques. Developments in Cardiovascular Medicine, vol 229. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4090-4_44
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DOI: https://doi.org/10.1007/978-94-011-4090-4_44
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