摘要
文中研究心音身份识别的基本原理和实现方法.首先分析心音信号的特性和作为生物识别的可行性;然后建立基于心音子波族的心音信号合成模型,并且用特征向量分布相图形象地比较两个心音的特征,用倒谱减法消除听诊器的类型和位置变化所产生的影响;最后,采用心音线性频带倒谱(HS-LBFC)提取心音特征参数,用相似距离等实现心音的身份识别.为了突出心音在时、频域上存在的差异,重点研究了构建心音子波的方法,合成模型中各参数的计算方法,以及心音特征参数的确定和对应的数据处理技术.实际实验结果表明,该方法具有很好的识别率和实用性.
This paper presents the basic principle and experimental method of identity recognition based on heart sounds. Firstly, the characteristics of heart sounds and feasibility of Heart sound as a biometric are analyzed. Then, the synthetic model of heart sounds is constructed based on wavelet family, and the characteristics of the two heart sounds are compared by the phase diagram of the feature vector, we make use of cepstral subtraction to eliminate the effects caused by the type difference and probe position change of the stethoscope. Finally, the characteristic parameters of heart sounds are extracted by using the liner band of the frequency cepstrM of heart sounds （HS-LBFC） with a specified configuration, and the similarity distance is adopted for heart sounds identification. To highlight the differences between various heart sound signals in the time domain or the frequency domain, we make further research on the construction method of the heart sound wavelet, the calculation method of the parameters of the synthetic model, the selection of the characteristic parameters of heart sound and the corresponding data processing technology. The experimental results show that above method exhibits nice performance and practicality.
作者
成谢锋
马勇
刘陈
张学军
郭宇锋
CHENG XieFeng;MA Yong;LIU Chen;ZHANG XueJun;GUO YuFeng(School of Electron Science and Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China;School of Computer Science and Technology.Nanjing University of Science and Technology Nanjing 210094,China;Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications,Ministry of Education,Nanjing 210003 China)
出处
《中国科学：信息科学》
CSCD
2012年第2期237-251,共15页
Scientia Sinica(Informationis)
基金
国家自然科学基金(批准号:61071089
61073115
61076073
60806027)
南京邮电大学基金(批准号:NY207139
NY210036
NY210068)
国家重点实验室开放基金(批准号:KFJJ201011)
江苏省教育厅自然科学基金(批准号:09KJB510010)资助项目
关键词
身份识别
心音子波
心音合成模型
心音线性频带倒谱
特征向量分布相图
identification, the wavelet family of heart sounds, the synthetic model of heart sound, the liner band of the frequency cepstral of heart sounds （HS-LBFC）, the phase diagram of the feature vector
