Lung sounds auscultation technology based on ANC-ICA algorithm in high battlefield noise environment
  • 万方数据
    中国人民解放军军医大学学报 중국인민해방군군의대학학보
    JOURNAL OF MEDICAL COLLEGES OF PLA
    2003年 1期 60-64 ,共5页

    牛海军%冯安吉%万明习%白培瑞

    우해군%풍안길%만명습%백배서



    adaptive noise canceling (ANC)%independent component analysis (ICA)%auscultation,lung sounds


    AIM:To explore the more accurate lung sounds auscultation technology in high battlefield noise environment.METHODS: In this study, we restrain high background noise using a new method-adaptive noise canceling based on independent component analysis (ANC-ICA), the method, by incorporating both second-order and higher-order statistics can remove noise components of the primary input signal based on statistical independence.RESULTS:The algorithm retained the local feature of lung sounds while eliminating high background noise, and performed more effectively than the conventional LMS algorithm.CONCLUSION:This method can cancel high battlefield noise of lung sounds effectively thus can help diagnose lung disease more accurately.
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