Analysis of Lung and Heart Sound using Smartphone Stethoscope

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. The peak frequency of the spectrum indicates the type of disease, and the AVRLCR value represents an indicator for determining the type of disease. And based on the period of the waveform, the waveform is displayed by autocorrelation and the pulse rate is displayed in real time.