Assessment of Baroreflex Control of Heart Rate During General Anesthesia Using a Point Process Method.

ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing(2009)

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摘要
Evaluation of baroreflex control of heart rate (HR) has important implications in clinical practice of anesthesia and postoperative care. In this paper, we present a point process method to assess the dynamic baroreflex gain using a closed-loop model of the cardiovascular system. Specifically, the inverse Gaussian probability distribution is used to model the heartbeat interval, whereas the instantaneous mean is identified by a linear or bilinear bivariate regression on the previous R-R intervals and blood pressure (BP) measures. The instantaneous baroreflex gain is estimated in the feedback loop with a point process filter, while the RR→BP feedforward frequency response is estimated by a Kalman filter. In addition, the instantaneous cross-spectrum and cross-bispectrum (as well as their ratio) can also be estimated. All statistical indices provide a valuable quantitative assessment of the interaction between heartbeat dynamics and hemodynamics during general anesthesia.
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heart rate,medical control systems,cardiology,kalman filter,postoperative care,bilinear bivariate regression,instantaneous cross-spectrum,heartbeat dynamics,general anesthesia,dynamic baroreflex gain,medical signal processing,hemodynamics,volterra series,instantaneous baroreflex gain,cardiovascular system,closed-loop model,adaptive filters,heart rate control,bp feedforward frequency response,baroreflex control assessment,heartbeat interval,point process method,blood pressure measures,instantaneous mean,clinical practice,bilinear systems,inverse gaussian probability distribution,heartbeat dynamic,point processes,baroreflex control,feedback loop,spectrum,inverse gaussian,adaptive filter,pressure measurement,point process,anesthesia,baroreflex,hafnium,probability distribution,gain,heart rate variability,blood pressure,frequency response
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