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Research on heart sound identification technology

查看全文 作  者:CHENG [1,3]XieFeng;MA [2]Yong;LIU [1]Chen;ZHANG [1]XueJun;GUO [1]YuFeng 高影响力作者 机构地区:[1]School of Electronic Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;[2]School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing 210094, China;[3]Key Lab of Broudbard Wireless Communication and Sensor Network Technology (Nanjing University of Posts and Telecommunications), Ministry of Education, Nanjing 210094, China高影响力机构 出  处:《Science China(Information Sciences)》索引2012年第55卷第2期,共12页高影响力期刊 基  金:supported by National Natural Science Foundation of China(Grant Nos.61071089,61073115,61076073,60806027);Research Foundation of Nanjing University of Posts and Telecommunications(Grant Nos.NY207139,NY210036,NY210068);Foundation of State Key Laboratory of Electronic Thin Films and Integrated Devices(Grant No.KFJJ201011);Foundation of Jiangsu Educational Committee(Grant No.09KJB510010) 摘  要:In this article,both the basic principles and the experimental methods of identity recognition technology based on heart sounds are addressed.First,the characteristics of heart sounds and the feasibility of heart sounds as a biometric were analyzed.A synthetic model of heart sounds was then developed based on a family of wavelets;Finally,the characteristic parameters of heart sounds were extracted by using the heart sounds linear band frequency cepstra(HS-LBFC)with a specified configuration,and the similarity distance was adopted for heart sound identification.To highlight the difference in two heart sound signals between the time and frequency domains,a construction method of the heart sound wavelet,a calculation method of the parameters of a synthetic model,selection of the characteristic parameters of heart sounds and the corresponding data processing technology were examined.The experimental results showed that the proposed method exhibited excellent performance and practicability. 关 键 词:身份识别技术 心音信号 特征参数 人工合成 相似距离 技术参数 数据处理 后提取
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