Live Demonstration: Crowdsourcing Cardiopulmonary Sound Labeling via Gamified Interactive Learning (HEALSound)
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.
Authors
- Rui Pan (ORCID: https://orcid.org/0000-0002-7318-3114)
- Huajie Huang (ORCID: https://orcid.org/0000-0003-1541-5412)
- Jian Zhao (ORCID: https://orcid.org/0000-0003-2140-1236)
- Changyan Chen (ORCID: https://orcid.org/0000-0002-4608-1948)
- Xuya Jiang
- Yuhang Zhang (ORCID: https://orcid.org/0000-0002-4101-6207)
- Qing Zhang (ORCID: https://orcid.org/0000-0002-9353-8584)
- Yongfu Li (ORCID: https://orcid.org/0000-0002-6322-8614)
- Long Yi (ORCID: https://orcid.org/0009-0009-3100-792X)
Institutions
- Shanghai Jiao Tong University (CN)
Publication Details
- Published
- 2025-05-25
- DOI
- https://doi.org/10.1109/iscas56072.2025.11043642
- Citations
- 1
- Primary Topic
- Phonocardiography and Auscultation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.52
Funders
- Shanghai Jiao Tong University
- Research and Development