DocumentCode
2015717
Title
Adaptive coherence estimation reveals nonlinear processes in injured brain
Author
Kong, Xuan ; Thakor, Nitish
Author_Institution
The Johns Hopkins Univ., Baltimore, MD, USA
Volume
1
fYear
1993
fDate
27-30 April 1993
Firstpage
87
Abstract
Severe injury to the brain may be expected to produce a nonlinear response in evoked potentials (EPs). The authors present a coherence function based method which readily detects an altered brain function resulting from extraneous injury. The coherence function is used to measure the degree of linear association between the EP signals recorded during normal and abnormal experimental conditions. An adaptive coherence estimation algorithm is developed to estimate time-varying model parameters responsive to the brain injury. A linearity index is devised to obtain a single measure of the brain´s departure from linearity. Analyses of somatosensory EP show a very sharp drop in the magnitude coherence estimates during hypoxic injury and a corresponding rapid decline in the linearity index at the very early stages of the hypoxic injury.<>
Keywords
adaptive filters; bioelectric potentials; brain models; coherence; electroencephalography; medical signal processing; nonlinear systems; time-varying systems; adaptive coherence estimation algorithm; evoked potentials; hypoxic injury; injured brain; nonlinear response; time-varying model parameters;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location
Minneapolis, MN, USA
ISSN
1520-6149
Print_ISBN
0-7803-7402-9
Type
conf
DOI
10.1109/ICASSP.1993.319061
Filename
319061
Link To Document