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题名: The research of lung sound signals based on cepstrum analysis
作者: 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: Proceedings - 2012 International Conference on Biomedical Engineering and Biotechnology, iCBEB 2012
会议录出版者: IEEE Computer Society
会议录出版地: Washington, DC
出版日期: 2012
页码: 934-938
收录类别: EI
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.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/9878
Appears in Collections:机器人学研究室_会议论文

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