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 distdbution.D_(twa),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 D_(twa) used for correlation analysis with V_(twa),which denoted TWA amplitude of Spectrum Method.The cross-correlation coefficient was γ= 0.984.The algorithm can identify the absence and presence of TWA accurately and provide idea for further study of TWA-PM.