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

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 coeff...

Full description

Saved in:
Bibliographic Details
Published in2015 17th International Conference on Advanced Communication Technology (ICACT) pp. 692 - 695
Main Authors Bing-Yuh Lu, Chin-Yuan Lin, Yigh-Pyne Lin, Ming-Chia Lim, Tung-Lai Hu, Yun-Lin Mao, Ming-Kwen Tsai, Shui-Ken Wei
Format Conference Proceeding
LanguageEnglish
Published Global IT Research Institute (GiRI) 01.07.2015
Subjects
auscultation
communication
Correlation
Correlation coefficient
lung sound
Lungs
Medical diagnostic imaging
mobile
Mobile communication
signal processing
Spectrogram
Online AccessGet full text

Cover

More Information
Summary: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.
ISSN:1738-9445
DOI:10.1109/ICACT.2015.7224884