Title
Nonlinear System Identification And Analysis Of Complex Dynamical Behavior In Reflected Light Measurements Of Vasomotion
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 believed by many to be chaotic. Further investigations by means of nonlinear system identification techniques indicate however that the underlying dynamics can described by a periodically driven nonlinear dynamical model exhibiting quasiperiodic behavior.
Year
DOI
Venue
2000
10.1142/S021812740000030X
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
Field
DocType
Volume
Vasomotion,Oscillation,Nonlinear system,Quasiperiodic function,Control theory,Nonlinear system identification,Surrogate data testing,Chaotic,Reflection (physics),Physics
Journal
10
Issue
ISSN
Citations 
2
0218-1274
5
PageRank 
References 
Authors
1.31
0
4
Name
Order
Citations
PageRank
Daniel Coca110620.12
Ying Zheng2173.88
John E. W. Mayhew3233322.10
Stephen A. Billings4214.46