Title
Instantaneous Assessment Of Autonomic Cardiovascular Control During General Anesthesia
Abstract
We present a comprehensive probabilistic point process framework to estimate and monitor the instantaneous heartbeat dynamics as related to specific cardiovascular control mechanisms and hemodynamics. Assessment of the model's statistics is established through the Wiener-Volterra theory and a multivariate autoregressive (AR) structure. A variety of instantaneous cardiovascular metrics, such as heart rate (HR), heart rate variability (HRV), respiratory sinus arrhythmia (RSA), and baroreceptor-cardiac reflex (BRS), can be rigorously derived within a parametric framework and instantaneously updated with an adaptive algorithm. Instantaneous metrics of nonlinearity, such as the bispectrum of heartbeat intervals, can also be derived. We have applied the proposed point process framework to experimental recordings from healthy subjects in order to monitor cardiovascular regulation under propofol anesthesia. Results reveal interesting dynamic trends across different pharmacological interventions, confirming the ability of the algorithm to track important changes in cardiorespiratory elicited interactions, and pointing at our mathematical approach as a promising monitoring tool for an accurate, noninvasive assessment of general anesthesia.
Year
DOI
Venue
2011
10.1109/IEMBS.2011.6092083
2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
Keywords
Field
DocType
heart rate variability,probability,point process,cardiovascular system,baroreflex,haemodynamics,patient monitoring,mathematical model,young adult,anesthesia,respiratory sinus arrhythmia,blood pressure
Autoregressive model,Heartbeat,Bispectrum,Remote patient monitoring,Heart rate variability,Computer science,Anesthesia,Probabilistic logic,Heart rate,Adaptive algorithm
Conference
Volume
ISSN
Citations 
2011
1557-170X
0
PageRank 
References 
Authors
0.34
1
5
Name
Order
Citations
PageRank
Zhe Chen130746.52
luca citi216827.88
Patrick L Purdon32111.44
Emery N. Brown41019151.59
Riccardo Barbieri531.90