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). Iranian Journal of Physics Research. 2019;7(2):113-118 (In Persian).
