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间质性肺炎患者肺音的小波分析 被引量:2

Wavelet Analysis of the Lung Sounds of Interstitial Pneumonia Patients
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摘要 目的:探索一种间质性肺炎患者肺音的的定量化评估分析方法。方法:采集第三军医大学第三附属医院呼吸科2名间质性肺炎患者的肺音,对肺音信号进行小波分析,首先进行归一化处理,然后采用db3小波进行6尺度小波分解,计算肺音小波分解各分量的能量。结果:间质性肺炎患者的爆烈音主要集中在小波分解的D3,D4和D5分量中。患者A治疗前肺音及治疗半年后的D3、D4和D5的能量和的平均值分别为0.25和0.057。患者B是在同一时期记录不同部位的肺音,患者的右上背与右下背记录的肺音D3+D4+D5的能量和均值分别为0.085和0.128,右下肺较右上肺的病情更严重。结论:肺音属于非平稳的随机信号,在时域和频域都有特征信息,适合采用小波时频分析方法来进行信号处理。肺音小波分量D3、D4和D5的能量和可以在一定程度反映爆烈音的多少,从而反映间质性肺炎患者的病情严重程度的不同。肺音检测安全,方法简单,成本低,便于重复检测,适合于监测间质性肺炎患者的病情程度。 Objective: To establish a quantitative analysis method of lung sound in interstitial pneumonia patients. Methods: The data of lung sounds were collected from two interstitial pneumonia patients in Respiratory Deaprtment of Daping Hospital, the Third Military Medical University. The lung sound data was processed by wavelet analysis. After normalization, the lung sound signals were decomposed into 6 scales using db3 wavelet, and then the energy of each wavelet decomposition component was computed. Results: The crackle of interstitial pneumonia patients mainly distribute in D3, D4 and D5 wavelet component. The average energy of D3, 94 and D5 of patient A's lung sounds before treatment and at the end of a half-year's treatment was 0.25 and 0.057 respectively. The average energy of D3, 134 and D5 of patient B' s lung sounds recorded on the upper right back and the lower right back was 0.085 and 0.128 respectively. Patient B's lower right lung was worse than his upper right lung. Conclu- sions: Lung sounds are non-stationary random signals which have characteristics in both time and frequency domain, which are suitable for signal processing using wavelet time frequency analysis method. The energy of D3, 94 and D~ of interstitial pneumo- nia patient's lung sounds could reflect the strength of crackle in certain degrees, and the latter was a marker of the severity of the disease. Detection of lung sounds is a safe, simple, cheap and highly reproducible method, and may be suitable for monitor- ing the severity of interstitial pneumonia.
出处 《中国医学物理学杂志》 CSCD 2014年第3期4924-4928,共5页 Chinese Journal of Medical Physics
基金 重庆市科委国际科技合作项目cstc2012gg-gjhz0023
关键词 肺音 间质性肺炎 小波 lung sound interstitial pneumonia wavelet
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  • 1宋喜国,邓亲恺.MIT-BIH心率失常数据库的识读及应用[J].中国医学物理学杂志,2004,21(4):230-232. 被引量:58
  • 2卢山,杨浩,肖冬萍,黄颖.基于小波变换的心率变异性动态分析[J].生物医学工程学杂志,2006,23(5):964-967. 被引量:2
  • 3R.A. Bates, M.F. Hilton, K.R. Godfrey, M.J. Chappell. Autonomic function assessment using analysis of heart rate variability [J]. Control Eng Practice. 1997. No.12. 1731-1737.
  • 4Chen SW. A wavelet-based heart rate variability analysis for the study of nonsustained ventricular tachycardia [J]. IEEE Transactions on Biomedical Engineering. 2002. 49(7): 736.
  • 5Verlinde D, Beckers F, Ramaekers D, etc. Wavelet decomposition analysis of heart rate variability in aerobic athletes [J]. Autonomic Neuroseience :Basic and Clinieal. 2001.90(1-2): 138.
  • 6沈文锦.心电诊断新技术[M].北京.中国中医药出版社.2004.
  • 7http://www.physionet.org/physiobank/database/.
  • 8张乾,蒋式勤.PhysioBank数据库及其应用[J].1994-2008.
  • 9China A.cademic Journal Electronic Publishing House.2008.1400-1403.
  • 10WolpawJR BirbaumerN McFadandDJ etal.脑机接口用于通讯与控制.临床神经生理学,2002,113:767-791.

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  • 1赵治栋,唐向宏,赵知劲,潘敏,陈裕泉.基于Hilbert-Huang Transform的心音信号谱分析[J].传感技术学报,2005,18(1):18-22. 被引量:17
  • 2刘毅,张彩明,冯峰,李圣君.基于高阶累积量的参数化双谱分析的肺音特征提取[J].山东大学学报(工学版),2005,35(2):77-85. 被引量:9
  • 3刘毅,张彩明,赵玉华,董亮.基于多尺度小波包分析的肺音特征提取与分类[J].计算机学报,2006,29(5):769-777. 被引量:31
  • 4Sestini P,Renzoni E,Rossi M,et al.Multimedia presentation of lung sounds as a learning aid for medical students[J].European Respiratory Journal,1995,8(5):783-788.
  • 5Murphy R.Computerized multichannel lung sound analysis.Development of acoustic instruments for diagnosis and management of medical conditions[J].IEEE Engineering in Medicine&Biology Magazine,2007,26(1):16-19.
  • 6Noman Qaid Abdullah,Naggar A L.Development of computerized recording channel of lung sound[J].Journal of Medical and Bioengineering(JOMB),2012,1(1):52-55.
  • 7Kandaswamy A,Kumar C S,Ramanathan R P,et al.Neural classification of lung sounds using wavelet coefficients[J].Computers in Biology&Medicine,2004,34(6):523-537.
  • 8Spieth P M,Zhang H.Analyzing lung crackle sounds:Stethoscopes and beyond[J].European Journal of Intensive Care Medicine,2011,37(8):1238-1239.
  • 9Pasterkamp H,Kraman S S,Wodicka G R.Respiratory sounds:Advances beyond the stethoscope[J].American Journal of Respiratory&Critical Care Medicine,1997,156(3):974-987.
  • 10Sathesh K,Muniraj N J R.Real time heart and lung sound separation using adaptive line enhancer with NLMS[J].Journal of Theoretical&Applied Information Technology,2014,65(2):559-564.

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