Title :
r-Parameter: a new measure of nonstationarity
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol., Kanpur, India
Abstract :
It is known that the addition of impulses to a signal, say electroencephalogram (EEG), increases the nonstationarity of the latter. A quantitative index of the change in the nonstationarity may serve as a diagnostic parameter. The logistic equation of the form y(n)=y(n-1)exp{r[1-y(n-1)]} is used here and EEG is fitted with it for least mean square error with r as a parameter. Since this logistic equation starts exhibiting randomness from r=2.6924 and onwards, a measure of randomness is obtained. It is shown that both the correlation dimension (cd) of chaos modelling and r vary in a similar way within a limited range of r between 2.5 and 3.0
Keywords :
chaos; electroencephalography; medical signal processing; physiological models; EEG; correlation dimension; diagnostic parameter; electrodiagnostics; least mean square error; logistic equation; nonstationarity measure; quantitative index; r-parameter; Animals; Brain modeling; Electroencephalography; Epilepsy; Logistics; Mean square error methods; Sampling methods;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995 and 14th Conference of the Biomedical Engineering Society of India. An International Meeting, Proceedings of the First Regional Conference., IEEE
Conference_Location :
New Delhi
Print_ISBN :
0-7803-2711-X
DOI :
10.1109/RCEMBS.1995.511712
