Analysis of Lung and Heart Sound Using Smartphone Stethoscope
AUTHORS
Eui-bung Jeoung,Dept. Automotive & Mechanical Engineering, Howon Univ., Kunsan, Korea
Soo-mi Hong,Corresponding author, Associate Professor, Major in Real Estate Studies, Faculty of Regional Development, Kongju Nat’l University. Yesan, Chungnam, Korea
Hyung-ki Choi,Dept. R&D, Sunmeditec co., ltd., Jeonju, Korea
Kee-young Park,Dept. R&D, Sunmeditec co., ltd., Jeonju, Korea
ABSTRACT
Korea and the world population are suffering from heart and lung disease due to aging. There are only few objective data regarding to bronchial or lung sounds. Therefore, it is necessary to normalize the data for breathing sounds objectively. In this paper, we analyze lung data using algorithm PCA (Principal Component Analysis) and AVRLCR (Average Level Crossing Rate) and then present an objective data about asthma and pneumonia. Peak frequency and AVRLCR value of spectrum show the significant differences depend on the type of diseases. And based on the period of the waveform, the waveform is displayed by autocorrelation and the pulse rate is displayed in real-time.
KEYWORDS
Heart and lung disease, PCA (Principal Component Analysis), AVRLCR (Average Level Crossing Rate), Autocorrelation, Pulse rate
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