南京理工大学学报（自然科学版）2016，Vol.40Issue(5)：560-565,6.DOI:10.14177/j.cnki.32-1397n.2016.40.05.010
高斯混合模型心音信号自动识别
Automatic recognition of heart sound signal based on Gauss mixture model
摘要
Abstract
In order to improve the accuracy of automatic recognition of heart sound signals, a new method based on Gauss mixture model is proposed here. The heart sound signal is collected and processed and the Mel frequency spectrum coefficient is abstracted as the features of the heart sound signal. Finally, the heart sound signal is automatically performed by the Gauss model, and its performance is tested and analyzed by simulation experiments. Experimental results show that the proposed method can describe the characteristics of heart sounds, its recognition rate is greatly improved compared with other methods,and it can be used in the diagnosis of cardiac diseases.关键词
心音信号/识别模型/小波分析/高斯混合模型Key words
heart sound signals/recognition models/wavelet analysis/Gauss mixture models分类
信息技术与安全科学引用本文复制引用
向昌盛..高斯混合模型心音信号自动识别[J].南京理工大学学报（自然科学版）,2016,40(5):560-565,6.基金项目
湖南省自然科学基金(2015JJ2041) （2015JJ2041）
