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.
M. Boorboor, , F. shahbazi, and B. Mirza, (2019). Multiscale entropy (MSE) and multicomponent complexity (MCC). Iranian Journal of Physics Research, 7(2), 113-118.
MLA
M. Boorboor, , , F. shahbazi, , and B. Mirza, . "Multiscale entropy (MSE) and multicomponent complexity (MCC)", Iranian Journal of Physics Research, 7, 2, 2019, 113-118.
HARVARD
M. Boorboor , F. shahbazi , B. Mirza (2019). 'Multiscale entropy (MSE) and multicomponent complexity (MCC)', Iranian Journal of Physics Research, 7(2), pp. 113-118.
CHICAGO
M. Boorboor, F. shahbazi and B. Mirza, "Multiscale entropy (MSE) and multicomponent complexity (MCC)," Iranian Journal of Physics Research, 7 2 (2019): 113-118,
VANCOUVER
M. Boorboor , F. shahbazi , B. Mirza Multiscale entropy (MSE) and multicomponent complexity (MCC). Dear user; Recently we have changed our software to Sinaweb. If you had already registered with the old site, you may use the same USERNAME but you need to change your password. To do so at the first use, please choose, 2019; 7(2): 113-118.
