Work

Poster Abstract: Acoustic Analysis System for Monitoring Respiratory Disease Symptoms

Year: 2024

Type: conference-paper

Abstract: 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.

Source: ACM Conference on Embedded Networked Sensor Systems (SenSys)

DOI: 10.1145/3666025.3699406

Authors: Tomasz Rymarczyk, Mariusz Mazurek, Marcin Dziadosz, Dariusz Wójcik, Oleksii Hyka, Krzysztof Król

Institutions: University of Economics and Innovation, Institute of Philosophy and Sociology, Polish Academy of Sciences, Lublin University of Technology

Language: English

Topic: Phonocardiography and Auscultation Techniques

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

OpenAlex ID: W4404034539

FWCI:

Cites: 4

Cited by:

Related to: 10