University of Southern California Department of Biomedical Engineering The USC Andrew and Erna Viterbi School of Engineering USC
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Cardiorespiratory Sleep Lab




Research



Nonlinear assessment of autonomic function in obstructive sleep apnea

The minimal model of autonomic cardiovascular control has been extended to incorporate the nonlinear effects of respiration and blood pressure, as well as the interaction between respiration and blood pressure, on heart rate variability. The extended model takes the form of a Volterra-Wiener structure, along with application of the Laguerre expansion technique to reduce parametrization. Analysis of data using this approach has shown that the magnitudes of these nonlinear interactions are substantially reduced in subjects with sleep apnea.

Examples of recent publications in this area:

(a) Jo J, Khoo MCK, Blasi A, Baydur A, Juarez R. Detection of autonomic abnormality in obstructive sleep apnea using a nonlinear model of heart rate variability. Proc 2nd Joint EMBS-BMES Conference, p.1554-1555, 2002.

(b) Jo, J.A.; Blasi, A.; Baydur, A.; Juarez, R.; Khoo, M.C.K. Nonlinear assessment of autonomic function in obstructive sleep apnea during long-term CPAP therapy. Proc. 25th Ann. Intl. Conf. of the IEEE Engineering in Medicine and Biology Society, Vol.1, pp.346-349, 2003.