LungBRN: A Smart Digital Stethoscope for Detecting Respiratory Disease Using bi-ResNet Deep Learning Algorithm

• Published in: 2019 IEEE Biomedical Circuits and Systems Conference (BioCAS) pp. 1 - 4
• Main Authors: Ma, Yi, Xu, Xinzi, Yu, Qing, Zhang, Yuhang, Li, Yongfu, Zhao, Jian, Wang, Guoxing
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2019
• Subjects: acoustic signal processing; crackles; deep learning; Feature extraction; Hidden Markov models; Lung; Machine learning; respiratory sounds classification; Sensitivity; Stethoscope; Wavelet analysis; wheezes
• DOI: 10.1109/BIOCAS.2019.8919021

Improving access to health care services for the medically under-served population is vital to ensure that critical illness can be addressed immediately. In the scenarios where there is a severely lacking of skilled medical staff, a basic lung sound classification through a digital stethoscope can b...