@inproceedings{7c19549d741748ae803ece3695e3e5a6,
title = "Grand Challenge on Respiratory Sound Classification for SPRSound Dataset",
abstract = "It is important to continuously monitor our respiratory system to prevent us from suffering respiratory-releated diseases. This demands for an automatic respiratory sounds software to speed up diagnosis and to reduce the workload of physicians. In the IEEE BioCAS 2022 conference, we have organized the first grand challenge on respiratory sound classification using the paediatric respiratory sound (SPRSound). This event has invited 45 teams with more than 100 open source entries and the top 5 teams are invited to present their works in the IEEE BioCAS 2022.",
keywords = "Open-source, and machine-learning models, data augmentation, deep-learning models, feature extractions, grand challenge, respiratory sound classification",
author = "Qing Zhang and Jing Zhang and Jiajun Yuan and Huajie Huang and Yuhang Zhang and Baoqin Zhang and Gaomei Lv and Shuzhu Lin and Na Wang and Xin Liu and Mingyu Tang and Yahua Wang and Hui Ma and Lu Liu and Shuhua Yuan and Hongyuan Zhou and Jian Zhao and Yongfu Li and Yong Yin and Liebin Zhao and Guoxing Wang and Yong Lian",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Biomedical Circuits and Systems Conference, BioCAS 2022 ; Conference date: 13-10-2022 Through 15-10-2022",
year = "2022",
doi = "10.1109/BioCAS54905.2022.9948551",
language = "英语",
series = "BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "213--217",
booktitle = "BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference",
address = "美国",
}