A robust T-wave alternans detection algorithm based on the wavelet transform and Bootstrap

In this article, continuous wavelet and Lipschitz indices are used to divide non-stationary T-wave alternans (TWA) in ECG signal into segments. Then Bootstrap method is applied to test the TWA magnitude. Experiments have extracted ECG signal from the database, and form T-wave alternans signal, Gaussian noise, baseline drift; and took a test to MIT's TWADB (10 groups) data; and in the last part, we have taken the real ECG to test. The achieved results are satisfactory. It has not only effectively reduced effects on the non-stability of TWA, but also solved the problem that the short-term TWA are difficult to test. The correlation coefficient between measurement and simulation of the magnitude of the true value reached to 0.96.