Abstract：With the development of modern control theory and computer technology, good conditions have been prepared for further research on the dynamic pathological features inherently in ECG signals. It also promotes early studies on neural network modeling of ECG signals, extraction of quantitative indicators characterizing the heterogeneity of ECG signals, auxiliary diagnosis of cardiac diseases, etc. This paper reviews literatures of the previous research on the data feature of cardiodynamicsgram signals, and introduces its extraction method, pattern recognition and its application in the auxiliary diagnosis of myocardial ischemia, early screening of cardiac diseases resulting from myocardial ischemia, evaluation of curative effect and so on.
易力, 李祥, 何俊德, 李伟, 郑大. 心电动力学信号数据特征提取与模式识别的研究进展[J]. 实用心电学杂志, 2019, 28(2): 136-140.
YI Li, LI Xiang, HE Jun-De, LI Wei, ZHENG Da. Research progress of the data feature extraction and pattern recognition of cardiodynamicsgram signal. JOURNAL OF PRACTICAL ELECTROCARDIOLOGY, 2019, 28(2): 136-140.
2019, Vol. 28 
