Live Demonstration: Crowdsourcing Cardiopulmonary Sound Labeling via Gamified Interactive Learning (HEALSound)

Xuya Jiang, Changyan Chen, Yichen Long, Huajie Huang, Qing Zhang, Yuhang Zhang, Jian Zhao, Rui Pan, Yongfu Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Healthcare Education and Labeling for Cardiopulmonary Sounds, HEALSound, is an interactive platform designed to enhance the identification and labeling of adventitious cardiopulmonary sounds through gamification. HEALSound enables users, particularly medical professionals, to engage in exercises that improve their knowledge of abnormal heart and lung sounds while simultaneously contributing to the labeling of raw audio data. By incorporating real-time feedback and progress tracking, the app promotes continuous learning and provides a valuable crowdsourced resource for building high-quality labeled datasets over time. This dual-purpose platform not only aids in medical education but also contributes to the advancement of machine learning models for sound classification in healthcare. The system demonstrates a new potential for significant impact in educational and clinical environments by seamlessly integrating learning with data collection, ensuring scalability and the continuous improvement of cardiopulmonary sound databases.

Original languageEnglish
Title of host publicationISCAS 2025 - IEEE International Symposium on Circuits and Systems, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350356830
DOIs
StatePublished - 2025
Externally publishedYes
Event2025 IEEE International Symposium on Circuits and Systems, ISCAS 2025 - London, United Kingdom
Duration: 25 May 202528 May 2025

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Conference

Conference2025 IEEE International Symposium on Circuits and Systems, ISCAS 2025
Country/TerritoryUnited Kingdom
CityLondon
Period25/05/2528/05/25

Fingerprint

Dive into the research topics of 'Live Demonstration: Crowdsourcing Cardiopulmonary Sound Labeling via Gamified Interactive Learning (HEALSound)'. Together they form a unique fingerprint.

Cite this