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

doi:10.1109/BioCAS58349.2023.10388719

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

^*此作品的通讯作者

Shanghai Jiao Tong University
Shanghai University
Sanya Maternity and Child Care Hospital
The First People's Hospital of Taicang
Linyi City People Hospital
Fengcheng Hospital
Linyi City Maternal and Child Health Hospital
Harbin Medical University
Fujian Children's Hospital
The First Affiliated Hospital of Henan University of Traditional Chinese Medicine
Ltd

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

13 引用（Scopus）

摘要

Globally, respiratory diseases are the leading cause of death, making it essential to develop an automatic respiratory sounds software to speed up diagnosis and reduce physician workload. A recent line of attempts have been proposed to predict accurately, but they have yet been able to provide a satisfactory generalization performance. In this contest, we invited the community to develop more accurate and generalized respiratory sound algorithms. A starter code is provided to standardize the submissions and lower the barrier. New testing set is prepared to evaluate the generalization performance of the submissions. Top 3 teams will present their work at IEEE BioCAS 2023 conference.

源语言	英语
主期刊名	BioCAS 2023 - 2023 IEEE Biomedical Circuits and Systems Conference, Conference Proceedings
出版商	Institute of Electrical and Electronics Engineers Inc.
ISBN（电子版）	9798350300260
DOI	https://doi.org/10.1109/BioCAS58349.2023.10388719
出版状态	已出版 - 2023
已对外发布	是
活动	2023 IEEE Biomedical Circuits and Systems Conference, BioCAS 2023 - Toronto, 加拿大期限: 19 10月 2023 → 21 10月 2023

丛书

姓名	BioCAS 2023 - 2023 IEEE Biomedical Circuits and Systems Conference, Conference Proceedings

会议

会议	2023 IEEE Biomedical Circuits and Systems Conference, BioCAS 2023
国家/地区	加拿大
市	Toronto
时期	19/10/23 → 21/10/23

访问文件

10.1109/BioCAS58349.2023.10388719

其它文件与链接

链接到 Scopus 的出版物

引用此

Zhang, Q., Zhang, J., Yuan, J., Huang, H., Zhang, Y., Chen, C., Lin, J., Zhang, B., Lv, G., Lin, S., Wang, N., Liu, X., Tang, M., Wang, Y., Liu, L., Ma, H., Xie, D., Wu, L., Yang, H., ... Lian, Y. (2023). Grand Challenge on Respiratory Sound Classification for SPRSound Dataset. 在 BioCAS 2023 - 2023 IEEE Biomedical Circuits and Systems Conference, Conference Proceedings (BioCAS 2023 - 2023 IEEE Biomedical Circuits and Systems Conference, Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BioCAS58349.2023.10388719

@inproceedings{e0571c80880b4984b3565989c413fa7c,

title = "Grand Challenge on Respiratory Sound Classification for SPRSound Dataset",

abstract = "Globally, respiratory diseases are the leading cause of death, making it essential to develop an automatic respiratory sounds software to speed up diagnosis and reduce physician workload. A recent line of attempts have been proposed to predict accurately, but they have yet been able to provide a satisfactory generalization performance. In this contest, we invited the community to develop more accurate and generalized respiratory sound algorithms. A starter code is provided to standardize the submissions and lower the barrier. New testing set is prepared to evaluate the generalization performance of the submissions. Top 3 teams will present their work at IEEE BioCAS 2023 conference.",

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 Changyan Chen and Jilei Lin and Baoqin Zhang and Gaomei Lv and Shuzhu Lin and Na Wang and Xin Liu and Mingyu Tang and Yahua Wang and Lu Liu and Hui Ma and Dan Xie and Lihua Wu and Haibo Yang and Shuhua Yuan and Mengjun Chen and Bingxue Zhang 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} 2023 IEEE.; 2023 IEEE Biomedical Circuits and Systems Conference, BioCAS 2023 ; Conference date: 19-10-2023 Through 21-10-2023",

year = "2023",

doi = "10.1109/BioCAS58349.2023.10388719",

language = "英语",

series = "BioCAS 2023 - 2023 IEEE Biomedical Circuits and Systems Conference, Conference Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "BioCAS 2023 - 2023 IEEE Biomedical Circuits and Systems Conference, Conference Proceedings",

address = "美国",

}

Zhang, Q, Zhang, J, Yuan, J, Huang, H, Zhang, Y, Chen, C, Lin, J, Zhang, B, Lv, G, Lin, S, Wang, N, Liu, X, Tang, M, Wang, Y, Liu, L, Ma, H, Xie, D, Wu, L, Yang, H, Yuan, S, Chen, M, Zhang, B, Zhou, H, Zhao, J, Li, Y, Yin, Y, Zhao, L, Wang, G & Lian, Y 2023, Grand Challenge on Respiratory Sound Classification for SPRSound Dataset. 在 BioCAS 2023 - 2023 IEEE Biomedical Circuits and Systems Conference, Conference Proceedings. BioCAS 2023 - 2023 IEEE Biomedical Circuits and Systems Conference, Conference Proceedings, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE Biomedical Circuits and Systems Conference, BioCAS 2023, Toronto, 加拿大, 19/10/23. https://doi.org/10.1109/BioCAS58349.2023.10388719

Grand Challenge on Respiratory Sound Classification for SPRSound Dataset. / Zhang, Qing; Zhang, Jing; Yuan, Jiajun 等.
BioCAS 2023 - 2023 IEEE Biomedical Circuits and Systems Conference, Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (BioCAS 2023 - 2023 IEEE Biomedical Circuits and Systems Conference, Conference Proceedings).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Grand Challenge on Respiratory Sound Classification for SPRSound Dataset

AU - Zhang, Qing

AU - Zhang, Jing

AU - Yuan, Jiajun

AU - Huang, Huajie

AU - Zhang, Yuhang

AU - Chen, Changyan

AU - Lin, Jilei

AU - Zhang, Baoqin

AU - Lv, Gaomei

AU - Lin, Shuzhu

AU - Wang, Na

AU - Liu, Xin

AU - Tang, Mingyu

AU - Wang, Yahua

AU - Liu, Lu

AU - Ma, Hui

AU - Xie, Dan

AU - Wu, Lihua

AU - Yang, Haibo

AU - Yuan, Shuhua

AU - Chen, Mengjun

AU - Zhang, Bingxue

AU - Zhou, Hongyuan

AU - Zhao, Jian

AU - Li, Yongfu

AU - Yin, Yong

AU - Zhao, Liebin

AU - Wang, Guoxing

AU - Lian, Yong

PY - 2023

Y1 - 2023

N2 - Globally, respiratory diseases are the leading cause of death, making it essential to develop an automatic respiratory sounds software to speed up diagnosis and reduce physician workload. A recent line of attempts have been proposed to predict accurately, but they have yet been able to provide a satisfactory generalization performance. In this contest, we invited the community to develop more accurate and generalized respiratory sound algorithms. A starter code is provided to standardize the submissions and lower the barrier. New testing set is prepared to evaluate the generalization performance of the submissions. Top 3 teams will present their work at IEEE BioCAS 2023 conference.

AB - Globally, respiratory diseases are the leading cause of death, making it essential to develop an automatic respiratory sounds software to speed up diagnosis and reduce physician workload. A recent line of attempts have been proposed to predict accurately, but they have yet been able to provide a satisfactory generalization performance. In this contest, we invited the community to develop more accurate and generalized respiratory sound algorithms. A starter code is provided to standardize the submissions and lower the barrier. New testing set is prepared to evaluate the generalization performance of the submissions. Top 3 teams will present their work at IEEE BioCAS 2023 conference.

KW - Open-source

KW - and machine-learning models

KW - data augmentation

KW - deep-learning models

KW - feature extractions

KW - grand challenge

KW - respiratory sound classification

UR - https://www.scopus.com/pages/publications/85184976768

U2 - 10.1109/BioCAS58349.2023.10388719

DO - 10.1109/BioCAS58349.2023.10388719

M3 - 会议稿件

AN - SCOPUS:85184976768

T3 - BioCAS 2023 - 2023 IEEE Biomedical Circuits and Systems Conference, Conference Proceedings

BT - BioCAS 2023 - 2023 IEEE Biomedical Circuits and Systems Conference, Conference Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE Biomedical Circuits and Systems Conference, BioCAS 2023

Y2 - 19 October 2023 through 21 October 2023

ER -

Zhang Q, Zhang J, Yuan J, Huang H, Zhang Y, Chen C 等. Grand Challenge on Respiratory Sound Classification for SPRSound Dataset. 在 BioCAS 2023 - 2023 IEEE Biomedical Circuits and Systems Conference, Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. (BioCAS 2023 - 2023 IEEE Biomedical Circuits and Systems Conference, Conference Proceedings). doi: 10.1109/BioCAS58349.2023.10388719

Grand Challenge on Respiratory Sound Classification for SPRSound Dataset

摘要

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会议

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