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International perception of lung sounds: a comparison of classification across some European borders | BMJ Open Respiratory Research
The use of spectrograms improves the classification of wheezes and crackles in an educational setting | Scientific Reports
Lung Sound Recorder | Asthma + Lung UK
Adventitious and Normal Lung Sounds in the General Population: Comparison of Standardized and Spontaneous Breathing | Respiratory Care
Listening panel agreement and characteristics of lung sounds digitally recorded from children aged 1–59 months enrolled in the Pneumonia Etiology Research for Child Health (PERCH) case–control study | BMJ Open Respiratory Research
A study protocol for community use of digital auscultation to improve diagnosis of paediatric pneumonia in Bangladesh | medRxiv
Illustration showing the different places where lung sounds were... | Download Scientific Diagram
Automated lung sound analysis using the LungPass platform: a sensitive and specific tool for identifying lower respiratory tract involvement in COVID-19 | European Respiratory Society
Lung Sounds
Lung sound acquisition protocol for the healthy dataset having (a)... | Download Scientific Diagram
0305164_Wet/Dry Clinical
Fundamentals of Lung Auscultation | NEJM
Influence of observer preferences and auscultatory skill on the choice of terms to describe lung sounds: a survey of staff physicians, residents and medical students
A soft wearable stethoscope designed for automated remote disease diagnosis
Normal Breath Sound - YouTube
PDF] Fundamentals of lung auscultation. | Semantic Scholar
Sensors | Free Full-Text | Using K-Nearest Neighbor Classification to Diagnose Abnormal Lung Sounds | HTML
Benchmarking of eight recurrent neural network variants for breath phase and adventitious sound detection on a self-developed open-access lung sound database—HF_Lung_V1 | PLOS ONE
Thinklabs Lung Sound Library
Digitally recorded and remotely classified lung auscultation compared with conventional stethoscope classifications among childr
Detection of pathological mechano-acoustic signatures using precision accelerometer contact microphones in patients with pulmonary disorders | Scientific Reports