Title :
Method of analysis of electrocardiograms (ECG) cycles variability in the phase space
Author :
Aksenova, Tetiana
Author_Institution :
Inst. of Cybern., Acad. of Sci., Kiev
fDate :
31 Oct-3 Nov 1996
Abstract :
It is traditional to use heart rate analysis to study the heart activity variability. In our paper we suggest another approach to the problem. It is based on construction of a model as a nonlinear differential equation and on comparing ECG cycles in the phase space
Keywords :
electrocardiography; iterative methods; medical signal processing; nonlinear differential equations; phase space methods; signal representation; ECG cycles variability; agglomerative algorithm; automatic classification; heart activity variability; iteration; noisy data; nonlinear differential equation; phase space; process model; signal trajectory; Additive noise; Cybernetics; Differential equations; Electrocardiography; Heart rate; Integral equations; Limit-cycles; Phase estimation; Random variables; Signal processing;
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
DOI :
10.1109/IEMBS.1996.646525
