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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

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.

Original language	English
Title of host publication	BioCAS 2023 - 2023 IEEE Biomedical Circuits and Systems Conference, Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350300260
DOIs	https://doi.org/10.1109/BioCAS58349.2023.10388719
State	Published - 2023
Externally published	Yes
Event	2023 IEEE Biomedical Circuits and Systems Conference, BioCAS 2023 - Toronto, Canada Duration: 19 Oct 2023 → 21 Oct 2023

Publication series

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

Conference

Conference	2023 IEEE Biomedical Circuits and Systems Conference, BioCAS 2023
Country/Territory	Canada
City	Toronto
Period	19/10/23 → 21/10/23

Keywords

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

Access to Document

10.1109/BioCAS58349.2023.10388719

Cite this

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. In 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

Zhang, Qing ; Zhang, Jing ; Yuan, Jiajun et al. / Grand Challenge on Respiratory Sound Classification for SPRSound Dataset. 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).

@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. in 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, Canada, 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 et al.
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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 et al. Grand Challenge on Respiratory Sound Classification for SPRSound Dataset. In 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

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Keywords

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