dc.contributor.author |
Yulmetyev R. |
|
dc.contributor.author |
Gafarov F. |
|
dc.contributor.author |
Yulmetyeva D. |
|
dc.contributor.author |
Emeljanova N. |
|
dc.date.accessioned |
2018-09-17T20:43:30Z |
|
dc.date.available |
2018-09-17T20:43:30Z |
|
dc.date.issued |
2002 |
|
dc.identifier.issn |
0378-4371 |
|
dc.identifier.uri |
https://dspace.kpfu.ru/xmlui/handle/net/133947 |
|
dc.description.abstract |
The Markov and non-Markov processes in complex systems are examined with the help of dynamical information Shannon entropy method. Here we consider the essential role of two mutually independent channels of entropy involving creation of correlation and annihilation of correlation. The developed method has been used to analyze the intensity fluctuation of the complex systems of various nature: in psychology (to analyze numerical and pattern short-time human memory, to study the effect of stress on the parameters of the dynamical taping-test) and in cardiology (to analyze the random dynamics of RR-intervals in human ECG's and to diagnose various diseases of human cardiovascular systems). The received results show that the application of intensity approximation allows to improve essentially the diagnostics of parameters in the evolution of human dynamic states. © 2002 Elsevier Science B.V. All rights reserved. |
|
dc.relation.ispartofseries |
Physica A: Statistical Mechanics and its Applications |
|
dc.subject |
Application in psychology and cardiology |
|
dc.subject |
Complex systems |
|
dc.subject |
Dynamical information Shannon entropy |
|
dc.subject |
Intensity fluctuation |
|
dc.subject |
Markov and non-Markov process |
|
dc.subject |
Nonlinear phenomena |
|
dc.title |
Intensity approximation of random fluctuation in complex systems |
|
dc.type |
Article |
|
dc.relation.ispartofseries-issue |
3-4 |
|
dc.relation.ispartofseries-volume |
303 |
|
dc.collection |
Публикации сотрудников КФУ |
|
dc.relation.startpage |
427 |
|
dc.source.id |
SCOPUS03784371-2002-303-34-SID0037081052 |
|