Automated lung auscultation identification for mobile health systems using machine learning

• Main Authors: Serato, Jo Hanna Lindsey, Reyes, Rosula SJ
• Format: text
• Published: Archīum Ateneo 2018
• Subjects: Lung; Principal component analysis; Classification algorithms; Feature extraction; Microsoft Windows; Support vector machines; Prediction algorithms; Biomedical; Electrical and Computer Engineering
• Online Access: https://archium.ateneo.edu/ecce-faculty-pubs/67; https://ieeexplore.ieee.org/document/8394589
• Institution: Ateneo De Manila University

An efficient classification system that aids in the computerized auscultation process was developed. A database of digital lung sounds was created from recorded lung sounds from anonymous patients using mobile application and digital stethoscopes. Efficiency of different classification algorithms to...