Multiscale entropy (MSE) and multicomponent complexity (MCC)

Multiscale entropy (MSE) and multicomponent complexity (MCC)

Multiscale entropy (MSE) is a powerful method for determining the complexity of random time series. In this paper we, investigate the cardiac heart interbeat interval (RR) time series by introducing a new method based on MSE, called multicomponent complexity (MCC) and find clear difference between h...

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Bibliographic Details
Main Authors: M. Boorboor, F. shahbazi, B. Mirza
Format: Article
Language:English
Published: Isfahan University of Technology 2007-06-01
Series:Iranian Journal of Physics Research
Subjects:
sample entropy
multiscale entropy
multicomponent complexity
coarse graining
Online Access:http://ijpr.iut.ac.ir/browse.php?a_code=A-10-1-101&slc_lang=en&sid=1
Description
Summary:Multiscale entropy (MSE) is a powerful method for determining the complexity of random time series. In this paper we, investigate the cardiac heart interbeat interval (RR) time series by introducing a new method based on MSE, called multicomponent complexity (MCC) and find clear difference between healthy samples and samples with Congestive heart failure (CHF) disease.
ISSN:1682-6957

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