تحلیل سری زمانی فواصل ضربان قلب به روشهای آنتروپی چند مقیاسی (MSE) و پیچیدگی چند مؤلفه‌ای (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 healthy samples and samples with Congestive heart failure (CHF) disease.