Cardiovascular variability refers to the beat-to-beat alterations in RR intervals of electrocardiogram (ECG) and a decrease in its value or abnormalities in its patterns have been used as a measure for predicting the future coronary events. Multiscale entropy (MSE) is a will developed complexity measure to quantify the concomitant effect of the cardiovascular regulating mechanisms at different time scales. This paper investigate the performance of MSE to classify the normal healthy and cardiac subjects. Lead-II ECG was acquired from 10 healthy (average age 31 years) and 10 acute myocardial infarction (AMI) subjects (average age 48 years). The study confirms that the time scales has a significant effect on MSE based cardiovascular variability.
