Linear and nonlinear quantification of respiratory sinus arrhythmia during propofol general anesthesia.
Quantitative evaluation of respiratory sinus arrhythmia (RSA) may provide important information in clinical practice of anesthesia and postoperative care. In this paper, we apply a point process method to assess dynamic RSA during propofol general anesthesia. Specifically, an 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 respiratory measures. The estimated second-order bilinear interaction allows us to evaluate the nonlinear component of the RSA. The instantaneous RSA gain and phase can be estimated with an adaptive point process filter. The algorithm's ability to track non-stationary dynamics is demonstrated using one clinical recording. Our proposed statistical indices provide a valuable quantitative assessment of instantaneous cardiorespiratory control and heart rate variability (HRV) during general anesthesia.
Chen
Zhe
Z
Neuroscience Statistics Research Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
Purdon
Patrick L
PL
Pierce
Eric T
ET
Harrell
Grace
G
Walsh
John
J
Salazar
Andres F
AF
Tavares
Casie L
CL
Brown
Emery N
EN
Barbieri
Riccardo
R
D000768:Anesthesia, General / Q000009:adverse effects*; D018686:Anesthetics, Intravenous / Q000009:adverse effects*; D001146:Arrhythmia, Sinus / Q000139:chemically induced*; D002138:Calibration; D004305:Dose-Response Relationship, Drug; D006339:Heart Rate; D006801:Humans; D016014:Linear Models; D017711:Nonlinear Dynamics; D010865:Pilot Projects; D015742:Propofol / Q000009:adverse effects*; D015656:Respiratory Mechanics / Q000502:physiology*
D018686:Anesthetics, Intravenous; D015742:Propofol