Grand Challenge on Respiratory Sound Classification for SPRSound Dataset.

Qing Zhang,Jing Zhang,Jiajun Yuan,Huajie Huang,Yuhang Zhang, Changyan Chen, Jilei Lin,Baoqin Zhang,Gaomei Lv,Shuzhu Lin,Na Wang,Xin Liu,Mingyu Tang,Yahua Wang, Lu Liu,Hui Ma, Dan Xie, Lihua Wu, Haibo Yang,Shuhua Yuan, Mengjun Chen, Bingxue Zhang,Hongyuan Zhou,Jian Zhao,Yongfu Li,Yong Yin,Liebin Zhao,Guoxing Wang,Yong Lian

2022 IEEE Biomedical Circuits and Systems Conference (BioCAS)（2023）

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摘要

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.

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关键词

Open-source,respiratory sound classification,grand challenge,feature extractions,data augmentation,and machine-learning models,deep-learning models

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