Detrended fluctuation analysis of pathological cardiac signals / 生物医学工程学杂志

ABSTRACT

The analysis of pathological electrocardiogram (ECG) signals is of importance for aided clinical diagnosis. We analyzed the self-similarity of normal heart rhythm, congestive heart failure and sudden cardiac death signal in the present paper using detrended fluctuation analysis (DFA), in order to achieve these two pathological ECG signal detection. The scale index(alpha) was achieved by analyzing and detecting normal heart rhythm, congestive heart failure and sudden cardiac death in the MIT-BIH standard database. Analysis of variance showed that the scale index could distinguish between congestive heart failure and sudden cardiac death accordingly.