Level crossing analysis of complex physiologic time series

Abstract

Level crossing is a powerful method for analyzing the random time series. In this paper by introducing this method we investigate the beta noises and represent differences between 1/f noise and white noise and also research the cardiac heart interbeat interval (RR) time series and find clear distinctions between healthy samples and samples with Congestive heart failure (CHF) disease.

Keywords

• level crossing
• Congestive heart failure (CHF)
• time series