T-wave alternans detection based on enhanced spectral method and singular value decomposition

Abstract

A method for the detection of T-wave alternans(TWA) was proposed through the fusion of enhanced spectral analysis and singular value decomposition in order to overcome the shortcoming of the traditional spectral analysis being sensitive to noise.Electrocardiosignal was effectively denoised by using singular value decomposition.The shortcomings of traditional spectral method including limitation to stationary signals and requirement of increased heart rates were overcome.The importance of alternans level was emphasized through increasing the amplitude of 0.5 cpb place on TWA spectrum in order to realize the effective analysis of TWA.Results showed that the accuracy of the algorithm was 93.33% for 30 synthetic electrocardiograms containing TWA in T-wave alternans database with increased alternans ratio and accuracy compared with traditional spectral analysis,which was obviously better than the result(66.67%) from the algorithm scored first in physionet 2008 challenge(TWA detection and quantitative analysis).The method is more effective for identifying TWA.