Poster Abstract: Acoustic Analysis System for Monitoring Respiratory Disease Symptoms
The aim of this work was to develop a proprietary device for real-time cough detection in audio recordings. Using models such as CNN, ResNet-50, and MobileNet, the system classifies cough sounds, enabling the early detection of potential infection cases, such as COVID-19. The device is intended for use in both private and public spaces, including medical facilities, nursing homes, and doctor's offices.
Authors
- Mariusz Mazurek (ORCID: https://orcid.org/0000-0002-9646-6897)
- Tomasz Rymarczyk (ORCID: https://orcid.org/0000-0002-3524-9151)
- Krzysztof Król (ORCID: https://orcid.org/0000-0002-0114-2794)
- Dariusz Wójcik (ORCID: https://orcid.org/0000-0002-4200-3432)
- Oleksii Hyka (ORCID: https://orcid.org/0000-0003-2129-5138)
- Marcin Dziadosz (ORCID: https://orcid.org/0000-0002-0506-6653)
Institutions
- University of Economics and Innovation (PL)
- Institute of Philosophy and Sociology (PL)
- Lublin University of Technology (PL)
- Polish Academy of Sciences (PL)
Publication Details
- Published
- 2024-11-04
- DOI
- https://doi.org/10.1145/3666025.3699406
- Primary Topic
- Respiratory and Cough-Related Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00