Heart Sounds in Identity Recognition

摘要：

In this thesis the applicability of advanced signalprocessing techniques to the status distinguishes using heartsound is first demonstrated. Two advanced signal processingtechniques namely: algorithm of independent sub-band functionsand the heart sound cycle frequency spectrogram. Afteranalyzing the basic characteristics of heart sound signals, thecharacteristic parameters of heart sound human are extracted byalgorithm of independent sub-band functions; identityrecognition of single channel heart sound signal was achieved bysetting up S1-S2-CFS recognition model and using patternmatching method of similarity coefficient. The final experimentresults demonstrate that the new technology is better.

作者: Cheng Xie-feng Ma Yong-hua Tao Ye-wei ZHANG Zhong Yan Reng-yi

作者单位: School of electron Science and Engineering Nanjing University of Posts and Telecommunications Nanjin College of Mathematics and Physics Nanjing University of Posts and Telecommunications Nanjing, Jiang College of Mathematics and Physics University of Jinan, Shandong Jinan, China

会议类型: 国际会议

会议名称: The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）