Abstract:

BACKGROUND: The microvolt T-wave alternans (MTWA) is an important index for ventricular arrhythmias prediction and is a promising tool to evaluate non-invasively malignant ventricular arrhythmia and risk of sudden death.
OBJECTIVE: To introduce a algorithm for detecting TWA using Poincare mapping method (PM), which is a technique for dynamics systems to display periodic behavior.
METHODS: Samples series of beat to beat cycles were selected to prepare Poincare mapping to describe TWA distribution.  , which denoted the sum distances between the origin to even and odd series, was used to present the presence and absence of TWA.
RESULTS AND CONCLUSION: This algorithm was applied in MIT/BIH Arrhythmia database and European ECG ST-T database, and  was used for correlation analysis with , which denoted TWA amplitude of Spectrum Method. The cross-correlation coefficient was . The algorithm can identify the absence and presence of TWA accurately and provide idea for further study of TWA-PM.