Title :
A comparison of linear and nonlinear modelling of the hippocampal EEG
Author :
Taikang Ning ; Ning, Shiming A.
Author_Institution :
Dept. of Eng. & Comput. Sci., Trinity Coll., Hartford, CT, USA
Abstract :
The authors use a truncated Volterra polynomial to model the hippocampal EEG of rats during the vigilance state of REM sleep. A comparison between the performance of linear and nonlinear models is made and it was found that nonlinear Volterra polynomial can significantly improve the accuracy of the modelling of the underlying EEG
Keywords :
brain models; electroencephalography; medical signal processing; polynomials; REM sleep; hippocampal EEG; linear modelling; modelling accuracy improvement; nonlinear modelling; truncated Volterra polynomial; vigilance state; Bioelectric phenomena; Brain modeling; Computer science; Current measurement; Electroencephalography; Iterative methods; Performance analysis; Polynomials; Rats; Signal processing algorithms; Vectors;
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-2050-6
DOI :
10.1109/IEMBS.1994.411827
