Development of Android-Based Pulmonary Monitoring System for Automated Lung Auscultation Using Long Short-Term Memory (LSTM) Network with Post-Processing from Edge Impulse

• Main Authors: Avila, Kaye Antoinette V., Cabrera, Beatrice Corine R., Reyes, Rosula, Oppus, Carlos M
• Format: text
• Published: Archīum Ateneo 2023
• Subjects: automated lung auscultation; edge impulse; LSTM; lung sound classification; pulmonary monitoring; recurrent neural network; Biomedical; Biomedical Engineering and Bioengineering; Electrical and Computer Engineering; Engineering
• Online Access: https://archium.ateneo.edu/ecce-faculty-pubs/150; https://doi.org/10.1109/ECBIOS57802.2023.10218442
• Institution: Ateneo De Manila University

Chronic pulmonary diseases remain a prevalent threat globally. With the emergence of COVID-19 and its transmission, there has been a rapid increase in the number of deaths due to respiratory illnesses. In this study, lung sound classifications were performed using a Thinklabs One digital stethoscope...