Monitoring and analysis of lung sounds for the diagnosis of lung abnormalities

Abstract

Lung infections and lung diseases are common and can be potentially deadly. Hence preventing lung diseases is more mandatory than curing them. Specialist doctors are less available in rural areas compared to urban areas. Thus it has become necessary to develop some method by which people in remote areas can be monitored by specialist doctors who might be far away. This paper proposes a method for preliminary detection of lung infections by analyzing lung sounds obtained by auscultation. To analyze the lung sounds, FFT was calculated and plotted. A number of pre-recorded lung sounds aided the analysis as well. Classification of lung sounds, as normal or adventitious, was done based on the variations observed in the above calculations. This data can be sent wirelessly via GSM/3G to the server in hospital where a specialist doctor can further analyze it for confirmation on lung infection.