A Review of Heart Sound Identification Recognition

Abstract

Abstract:

Abstract： Based on overseas and domestic research status and analysis of technology maturity in heart sound identification recognition, the correlation between heart sound and identification was described from a technical point of view. The key technologies required for identification system implementation, including heart sound acquisition devices, heart sound preprocessing, feature extraction and pattern matching, were discussed. Besides, development conceptions and challenges of future heart sound identification recognition were presented.
Key words：

Key words: heart sound identity recognition, heart sound acquisition, heart sound preprocessing, feature extraction, pattern matching

CLC Number:

TP 391.4

CHENG Xiefeng,FU Nüting. A Review of Heart Sound Identification Recognition[J]. Journal of Shanghai Jiaotong University, 2014, 48(12): 1745-1750.

References

［1］Jain A K, Ross A, Prabhakar S. An introduction to biometric recognition［J］. IEEE Transactions on Circuits and Systems for Video Technology, 2004, 14(1): 420.

［2］Jain A K, Ross A, Prabhakar S. Biometrics: A tool for information security［J］. IEEE Transactions on Information Forensics and Security, 2006, 1(2):125 143.

［3］Beritelli F, Serrano S. Biometric identification based on frequency analysis of cardiac sounds［J］. IEEE Transactions on Information Forensics and Security，2007, 2(3): 596604.

［4］Cheng X F, Ma Y, Liu C， et al. Research on heart sound identification technology［J］. Science China Information Sciences, 2012, 55(2): 281292.

［5］Jasper J, Othman R. Feature extraction for human identification based on envelogram signal analysis of cardiac sounds in timefrequency domain［C］∥Proceedings of 2010 International Conference on Electronics and Information Engineering. Kyoto: ICEIE， 2010： 228233.

［6］Nashwa E B, Haneed A Q, Zawbaa H M, et al. HSAS: Heart sound authentication system［C］∥Proceedings of 2010 Second World Congress on Nature and Biologically Inspired Computing. Fukuoka:IEEE,2010: 351356.

［7］苹果公司. 心音身份识别技术保手机安全［J］. 传感器世界, 2010, 5: 44.

［8］陈天华, 韩力群, 郑彧，等. 基于HKY06C传感器的心音信号检测与实现［J］. 微计机机信息, 2009,25(61): 167168.

CHEN Tianhua, HAN Liqun, ZHENG Yu， et al. Detection and realization of heart sound signals based on HKY06C sensor［J］.Microcomputer Information,2009,25(61):167168.

［9］成谢锋,马勇,张少白,等.基于数据融合的三段式心音身份识别技术［J］.仪器仪表学报,2010, 31(8): 17121720.

CHANG Xiefeng, MA Yong, ZHANG Shaobai, et al.Threestep identity recognition technology using heart sound based on information fusion［J］.Chinese Journal of Scientific Instrument, 2010, 31(8): 17121720.

［10］Beritelli Francesco. An improved biometric identification system based on Heart sound and Gaussian mixture models［C］∥Biometric Measurement and System for Security and Medical Application. Taranto: BIOMS, 2010: 3135.

［11］ZHAO Zhidong, SHEN Qinqin, REN Fangqin. Heart sound biometric system based on marginal spectrum analysis［J］. Sensors, 2013, 13(2): 25302551.

［12］刘娟,赵治栋. 基于心音信号的身份识别方法［J］. 科技通报, 2011, 27(2)：182185.

LIU Juan, ZHAO Zhidong. Human identification method based on heart sound［J］. Bulletin of Science and Technology,2011,27(2):182185.

［13］成谢锋, 张正.一种双正交心音小波的构造方法［J］. 物理学报, 2013, 62(16）:168701.

CHENG Xiefeng,ZHANG Zheng.A construction method of biorthogonal heart sound wavelet［J］.Acta Physica Sin, 2013, 62（16）:168701.

［14］郭兴明，段赟，钟丽莎.基于HMM和WNN的心音信号身份识别研究［J］.计算机应用研究，2010，27（12）：45614564.

GUO Xingming, DUAN Yun, ZHONG Lisha. Study of human identity recognition based on HMM and WNN［J］. Appl Res Comput, 2010, 27(12): 45614564.

［15］Yamacli M, Dokur Z, Olmez T. Segmentation of S1–S2 sounds in phonocardiogram records using wavelet energies［C］∥23rd International Symposium on Computer and Information Sciences. Stanbul: IEEE, 2008:166.

［16］Vepa J, Tolay P, Jain A. Segmentation of heart sounds using simplicity features and timing information［C］∥IEEE International Conference on Acoustics Speech and Signal Processing. Las Vegas: IEEE, 2008: 469472.

［17］ZHOU Jing, HE Wei, DAN Chunmei, et al.Computer based analysis and recognition of heart sound［C］∥The 2nd International Conference on Bioinformatics and Biomedical Engineering. Shanghai: IEEE, 2008: 20762079.

［18］成谢锋, 马勇, 刘陈,等. 心音身份识别技术的研究［J］. 中国科学：信息科学, 2012, 42(2): 237251.

CHENG Xiefeng, MA Yong, LIU Chen, et al. Research on heart sound identification technology［J］. Scientia Sinica: Informationis, 2012, 42(2): 237251.

［19］Phua K, Chen J, Dat T H, et al. Heart sound as a biometric［J］. Pattern Recognition, 2008,41(3): 906919.

［20］ZHAO Zhidong. A human identification system based on heart sounds and gaussian mixture models［C］∥4th International Conference on Biomedical Engineering and Informatics. Shanghai: BMEI, 2011: 597601.

［21］沈琴琴, 赵治栋. 基于DWTMFC特征参数提取的心音身份识别［J］. 杭州电子科技大学学报，2011, 31(4): 102105.

SHEN Qinqin, ZHAO Zhidong. Feature extraction of MFCC based on wavelet transform of heart sounds identification［J］. Journal of Hangzhou Dianzi University, 2011, 31(4): 102105.

［22］刘佳佳, 周红标, 鞠勇. 基于CPSOLSSVM的心音身份识别［J］. 南京师范大学学报：工程技术版，2013, 13(1): 68 73.

LIU Jiajia, ZHOU Hongbiao, JU Yong.Identity recognition using heart sound based on CPSOLSSVM［J］. Journal of Nanjing Normal University: Engineering and Technology Edition, 2013, 13(1): 6873.

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