Abstract
We demonstrate a new digital stethoscope system, LungSys, for our users to detect adventitious respiratory sounds automatically. LungSys includes a commercial digital stethoscope and a software application installed on an Android mobile tablet. The digital stethoscope converts an acoustic sound from the users’ chest to electronic signals and transmits the signals to a mobile tablet through a built-in Bluetooth device. Our custom software application in the tablet provides a real-time analysis of the lung sound using our proposed neural network model bi-ResNet(BRN) and identifies any adventitious respiratory sound to users. Since LungSys is based on a non-invasive digital stethoscope and our proprietary deep learning algorithm, it allows users who do not have any professional skill to perform respiratory diagnosis conveniently.
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