• DocumentCode
    1878824
  • Title

    Mobile-to-mobile communication for lung sound auscultation: A preliminary study of perspective on auto-regression model

  • Author

    Bing-Yuh Lu ; Chin-Yuan Lin ; Yigh-Pyne Lin ; Ming-Chia Lim ; Tung-Lai Hu ; Yun-Lin Mao ; Ming-Kwen Tsai ; Shui-Ken Wei

  • Author_Institution
    Dept. of Electron. Eng., Tungnan Univ., New Taipei City, Taiwan
  • fYear
    2015
  • fDate
    1-3 July 2015
  • Firstpage
    692
  • Lastpage
    695
  • Abstract
    This study employed the correlation coefficients analysis of time sequence, spectrogram, and auto-regression model of signals which were the lung sounds of subject end, and distant end where the sound was transmitted by mobile-to-mobile communication. The results presented that the correlation coefficients of time sequence, spectrogram, 4-order coefficients of auto-regression model were 0.36, 0.69, and 0.82 in the bell filtering mode, and 0.28, 0.69, and 0.81 in the diaphragm filter mode. Based on the high correlation coefficients of the spectrogram, and 4-order coefficients of auto-regression model, we believe that the mobile-to-mobile communication is a feasible method for distant lung sound auscultation.
  • Keywords
    acoustic signal processing; autoregressive processes; correlation methods; filtering theory; lung; medical signal processing; mobile communication; autoregression model; bell filtering mode; correlation coefficient analysis; diaphragm filter mode; lung sound auscultation; mobile-to-mobile communication; spectrogram; time sequence; Correlation; Correlation coefficient; Lungs; Medical diagnostic imaging; Mobile communication; Patents; Spectrogram; auscultation; communication; correlation; lung sound; mobile; signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology (ICACT), 2015 17th International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-8-9968-6504-9
  • Type

    conf

  • DOI
    10.1109/ICACT.2015.7224884
  • Filename
    7224884