The analysis of ECG signals with methods derived from chaos theory is a potential tool to classify different heart behaviours and can help to get insights on the heart dynamics. Particularly, this work concerns the computation of the correlation dimension (D_2). It is well known that D_2 estimation requires some cautions when dealing with real signals affected by noise. In a previous paper the authors presented a method for a rough quantification of the reliability of the D_2 estimate through the definition of a parameter (alpha) easily obtained as a byproduct of D_2 computation. In this paper they use it to analyze several surface ECGs from MIT-BIH Arrhythmia Database. They observed a good agreement between an unreliable D_2 estimate (large alpha value) and the noise level of the examined signals. This comparison is made possible by comments on signal quality available from the MIT-BIH directory.
On the correlation dimension of ECG signals
Casaleggio A;Corana A
1996
Abstract
The analysis of ECG signals with methods derived from chaos theory is a potential tool to classify different heart behaviours and can help to get insights on the heart dynamics. Particularly, this work concerns the computation of the correlation dimension (D_2). It is well known that D_2 estimation requires some cautions when dealing with real signals affected by noise. In a previous paper the authors presented a method for a rough quantification of the reliability of the D_2 estimate through the definition of a parameter (alpha) easily obtained as a byproduct of D_2 computation. In this paper they use it to analyze several surface ECGs from MIT-BIH Arrhythmia Database. They observed a good agreement between an unreliable D_2 estimate (large alpha value) and the noise level of the examined signals. This comparison is made possible by comments on signal quality available from the MIT-BIH directory.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
