Nonlinear Identification and Analysis of Quasiperiodic Oscillations in Reflected Light Measurements of Vasomotion
Coca, D., Zheng, Y., Mayhew, J.E.W. et al. (1 more author)
(1998)
Nonlinear Identification and Analysis of Quasiperiodic Oscillations in Reflected Light Measurements of Vasomotion.
Research Report.
ACSE Research Report 712
.
Department of Automatic Control and Systems Engineering
Abstract
Nonlinear system identification and analysis methods are employed to study the low frequency oscillations present in time series data obtained from reflectance imagery of microvasculature. Using the method of surrogate data testing the analysis reveals the deterministic nature of these oscillations which initially are believed to be chaotic. Further investigations by means of nonlinear system identification techniques indicate however that the underlying dynamics is described very well by a periodically driven nonlinear dynamical model exhibiting quaiperiodic oscillations.
Metadata
Authors/Creators:
Coca, D.
Zheng, Y.
Mayhew, J.E.W.
Billings, S.A.
Copyright, Publisher and Additional Information:
The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances.
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