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

• المؤلفون الرئيسيون: Avila, Kaye Antoinette V., Cabrera, Beatrice Corine R., Reyes, Rosula, Oppus, Carlos M
• التنسيق: text
• منشور في: Archīum Ateneo 2023
• الموضوعات: automated lung auscultation; edge impulse; LSTM; lung sound classification; pulmonary monitoring; recurrent neural network; Biomedical; Biomedical Engineering and Bioengineering; Electrical and Computer Engineering; Engineering
• الوصول للمادة أونلاين: https://archium.ateneo.edu/ecce-faculty-pubs/150; https://doi.org/10.1109/ECBIOS57802.2023.10218442

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...