吉林大学学报（理学版）2016，Vol.54Issue(5)：1096-1102,7.DOI:10.13413/j.cnki.jdxblxb.2016.05.29
基于高斯混合模型的心音信号识别
Heart Sound Signal Recognition Based on Gauss Mixture Model
摘要
Abstract
In order to distinguish different kinds of heart sound signals accurately and obtain better recognition effect,we proposed a heart sound signal recognition model based on Gauss mixture model.Firstly,wavelet transform was used to denoise original heart sound signal,and the interference of noise to feature extraction of heart sound signal was eliminated.Secondly,heart sound signal was extracted while model of classification and recognition of heart sound signal was constructed by using Gauss model.Finally,the performance of the model was verified by using heart sound signal data.The results show that the average recognition rate of heart sound signal for the proposed model is more than 9 5 %,and recognition result of heart sound signal is superior to other models.关键词
心音信号/分类模型/信号分帧/提取特征/线性预测倒谱系数Key words
heart sound signal/classification model/signal frame/extraction feature/liner prediction coefficient of frequency分类
信息技术与安全科学引用本文复制引用
安玲玲,于雷..基于高斯混合模型的心音信号识别[J].吉林大学学报（理学版）,2016,54(5):1096-1102,7.基金项目
福建省自然科学基金(批准号:2014J01252) （批准号:2014J01252）
