1.Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen 518055, Guangdong, China
2.The Third People’s Hospital of Shenzhen, Shenzhen 518112, Guangdong, China
3.Guangzhou Institute of Respiratory Health, China State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
Author bio:
*nanshan@vip.163.com;
luhongzhou@fudan.edu.cn;
wangwj3@sustech.edu.cn
Funds:
This work is supported by the National Key Research and Development Program of China(2022YFC2407800);the General Program of National Natural Science Foundation of China(62271241);the Guangdong Basic and Applied Basic Research Foundation(2023A1515012983);the Shenzhen Fundamental Research Program(JCYJ20220530112601003)
Deep learning-based lung sound analysis for intelligent stethoscope[J]. MMR, 2024,11(4):567-588.
Dong-Min Huang, Jia Huang, Kun Qiao, et al. Deep learning-based lung sound analysis for intelligent stethoscope[J]. Military Medical Research, 2024, 11(4): 567-588.
Deep learning-based lung sound analysis for intelligent stethoscope[J]. MMR, 2024,11(4):567-588. DOI: 10.1186/s40779-023-00479-3.
Dong-Min Huang, Jia Huang, Kun Qiao, et al. Deep learning-based lung sound analysis for intelligent stethoscope[J]. Military Medical Research, 2024, 11(4): 567-588. DOI: 10.1186/s40779-023-00479-3.
Deep learning-based lung sound analysis for intelligent stethoscope