南京邮电大学学报（自然科学版）2017，Vol.37Issue(5)：7-12,6.DOI:10.14132/j.cnki.1673-5439.2017.05.002
S1和S2共振峰频率在心音分类识别中的应用
Application of formant frequency of S1 and S2 in classification of heart sounds
摘要
Abstract
To solve the difficulty of extracting the features of heart sounds in the process of heart sound recognition,a recognition method based on the first heart sound (S1) and the second heart sound (S2) formant frequency is proposed.The original heart sound is denoised by wavelet transform.Then,the waveform is split up into S1 and S2 segments based on the algorithm of normalized average Shannon energy.Based on linear prediction encoding method(LPC),the formant frequency of S1 and S2 is extracted.Finally,a feature vector is constituted by the formant frequency of S1 and S2,and the support vector machine(SVM) is used to classify the feature vectors.The experimental result shows that the formant frequency of S1 and S2 can characterize the stability and the uniqueness.With the formant frequency of S1 and S2 as the feature,there is a very high recognition accuracy in the classification,providing a reliable theoretical basis for the identification of heart sound and diagnosis of heart disease.关键词
心音/共振峰频率/特征提取/分类识别/支持向量机Key words
heart sound/formant frequency/feature extraction/classification and recognition/support vector machine (SVM)分类
信息技术与安全科学引用本文复制引用
成谢锋,陈亚敏..S1和S2共振峰频率在心音分类识别中的应用[J].南京邮电大学学报（自然科学版）,2017,37(5):7-12,6.基金项目
国家自然科学基金(61271334,61073115)和江苏省研究生培养创新工程(SJCX17_0229)资助项目 （61271334,61073115）
