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 language | English |
|---|---|
| Title of host publication | ISCAS 2025 - IEEE International Symposium on Circuits and Systems, Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350356830 |
| DOIs | |
| State | Published - 2025 |
| Externally published | Yes |
| Event | 2025 IEEE International Symposium on Circuits and Systems, ISCAS 2025 - London, United Kingdom Duration: 25 May 2025 → 28 May 2025 |
Publication series
| Name | Proceedings - IEEE International Symposium on Circuits and Systems |
|---|---|
| ISSN (Print) | 0271-4310 |
Conference
| Conference | 2025 IEEE International Symposium on Circuits and Systems, ISCAS 2025 |
|---|---|
| Country/Territory | United Kingdom |
| City | London |
| Period | 25/05/25 → 28/05/25 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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