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The research of lung sound signals based on cepstrum analysis
Wang BJ(王本金); Miao L(缪磊); Dong HY(董慧颖); Zheng ZG(郑则广)
作者部门机器人学研究室
会议名称2012 International Conference on Biomedical Engineering and Biotechnology, iCBEB 2012
会议日期May 28, 2012 - May 30, 2012
会议地点Macau, China
会议录名称Proceedings - 2012 International Conference on Biomedical Engineering and Biotechnology, iCBEB 2012
出版者IEEE Computer Society
出版地Washington, DC
2012
页码934-938
收录类别EI
EI收录号20124015484849
产权排序1
ISBN号978-0769547060
关键词Lung Sounds Cepstrum Analysis Digital Signal Processing Spectrum
摘要In this paper, we proposed a new method of signal processing techniques for the application of analyzing four typical lung-sound signals (tracheal breath sounds, vesicular breath sounds, inspiratory and expiratory stridor, and stridor). First, we focus on the estimation method of the sound source number in a lung disease. Second, we calculate the time interval of each sound source signal accurately. Finally, we put the delay time and the number of sound sources as the characteristics, and study the relationships between each pathological lung sound and the characteristics. The innovation of this paper is that utilizing the cepstrum analysis as a new idea to study the pathological diagno-sis of lung diseases. © 2012 IEEE.
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/9878
专题机器人学研究室
作者单位1.Shenyang Ligong University, Shenyang, China
2.Shenyang Institute of Automation (SIA), Chinese Academy of Sciences (CAS), Shenyang, China
3.Shenyang Institute of Automation, Chinese Academy of Sciences, Guangzhou, CAS, Guangzhou, China
4.State Key Laboratory of Respiratory Disease, Guangzhou Institution of Respiratory Disease, Guangzhou, China
推荐引用方式
GB/T 7714
Wang BJ,Miao L,Dong HY,et al. The research of lung sound signals based on cepstrum analysis[C]. Washington, DC:IEEE Computer Society,2012:934-938.
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