基于双谱和谱特征的心电信号分类方法.

As the lowest high - order spectrum, bi spectrum has many excellent characteristics, but it also has the defect of large calculation. Based on bi spectrum matrix, a feature extraction method for two - dimensional ECG signal is proposed in the present study. The spectral flatness, spectral brightness and spectral roll off are combined to form the eigenvector, which is further combined with the support vector machine classification method founded on radial basis kernel function to realize the classification and recognition of ECG signals. The ECG signal in MIT - BIH database is applied Lo verify the method. Experimental result show that the two - dimensional spectrum feature extraction method based on bi spectrum proposed in this study has a small amount of computation and an accuracy of 93. 4 %, indicating that the proposed method can effectively realize the diagnosis of arrhythmia and the classification of ECG signals. [ABSTRACT FROM AUTHOR]