听诊器
蓝牙
计算机科学
呼吸音
Android(操作系统)
软件
移动设备
声音(地理)
语音识别
嵌入式系统
无线
电信
医学
声学
操作系统
放射科
内科学
物理
哮喘
作者
Yi Ma,Xinzi Xu,Qing Yu,Yuhang Zhang,Yongfu Li,Jian Zhao,Guoxing Wang
标识
DOI:10.1109/biocas.2019.8918752
摘要
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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