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

• Published in: 2015 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
• Language: English
• 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
• DOI: 10.1109/ICACT.2015.7224884
• ISSN: 1738-9445

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.