[1]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(05):560.[doi:10.14177/j.cnki.32-1397n.2016.40.05.010]
 Xiang Changsheng.Automatic recognition of heart sound signal based on Gauss mixture model[J].Journal of Nanjing University of Science and Technology,2016,40(05):560.[doi:10.14177/j.cnki.32-1397n.2016.40.05.010]
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高斯混合模型心音信号自动识别
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
40卷
期数:
2016年05期
页码:
560
栏目:
出版日期:
2016-10-30

文章信息/Info

Title:
Automatic recognition of heart sound signal based on Gauss mixture model
文章编号:
1005-9830(2016)05-0560-06
作者:
向昌盛
湖南工程学院 计算机与通信系,湖南 湘潭 411104
Author(s):
Xiang Changsheng
Department of Computer and Communication,Hunan Institute of Engineering,Xiangtan 411104,China
关键词:
心音信号 识别模型 小波分析 高斯混合模型
Keywords:
heart sound signals recognition models wavelet analysis Gauss mixture models
分类号:
TP391
DOI:
10.14177/j.cnki.32-1397n.2016.40.05.010
摘要:
为了提高心音信号自动识别的准确性,该文提出一种高斯混合模型心音信号自动识别方法。首先收集心音信号进行预处理,提取心音信号的Mel频率倒谱系数作特征参数,采用高斯模型库进行心音信号自动实别,最后利用仿真实验对其性能进行测试和分析。实验结果表明,该文方法可以准确描述心音信号变化特点,相对其他心音信号自动识别方法,其识别率大幅提高,可应用于心脏疾病的诊断中。
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.

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备注/Memo

备注/Memo:
收稿日期:2015-12-11 修回日期:2016-04-01
基金项目:湖南省自然科学基金(2015JJ2041)
作者简介:向昌盛(1971-),男,博士,副教授,主要研究方向:生物信息学、人工智能技术及数据,E-mail:cx5243879@sohu.com。
引文格式: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,2016,40(5):560-565.
投稿网址:http://zrxuebao.njust.edu.cn
更新日期/Last Update: 2016-10-30