Title :
Correlation Dimensions and Entropy of Series in Electrocardiogram
Author_Institution :
Dept. of Inf. & Commun. Eng., Fuzhou Univ.
Abstract :
Heart is one of the most complex dynamic system. Indeed, ECG is important information which reflect the active states of heart. In this paper, select 24 data files of ECG from MIT-BIH database and divide these data into four groups. Series of R-peaks and RR- intervals extracted from these electrocardiograms are analyzed with the correlation dimension and correlation entropy. The results showed that there are obviously different dynamic characteristics in the four groups. Use the methods of nonlinear dynamics to extract dynamic characteristics from ECG so as to research active states of heart and help doctors clinical application for early diagnose diseases of heart in future
Keywords :
correlation methods; diseases; electrocardiography; entropy; ECG; R-peaks; RR- intervals; correlation dimensions; disease diagnosis; electrocardiogram; entropy; heart active states; Cardiac disease; Cardiovascular diseases; Data mining; Databases; Educational institutions; Electrocardiography; Entropy; Heart; Nonlinear dynamical systems; Nonlinear equations; ECG correlation dimension; correlation entropy; nonlinear dynamics;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1615502
