From: Deep learning-based lung sound analysis for intelligent stethoscope
Dataset | Subject | Audio recording | Duration | Annotation | Diagnosis |
---|---|---|---|---|---|
ICBHI 2017 [84] | 126 | 920 | 10–90 s | Normal, crackle, wheeze, both crackle and wheeze | Lower respiratory tract infections, upper respiratory tract infections, pneumonia, COPD, asthma, bronchiolitis, bronchiectasis, cystic fibrosis |
Fraiwan et al. [85] | 112 | 112 | 5–30 s | Inspiratory, expiratory, wheezes, crackles, normal | Normal, asthma, pneumonia, COPD, bronchitis, heart failure, lung fibrosis, pleural effusion |
HF_Lung_V1 [86] | 261 | 9765 | 15Â s | Inhalation, exhalation, stridor, rhonchus, crackle | Acute respiratory failure, chronic respiratory failure, acute exacerbation of COPD, COPD, pneumonia, acute respiratory distress syndrome, emphysema |
HF_Lung_V2 [87] | 303 | 14,138 | 15Â s | Inhalation, exhalation, stridor, rhonchus, crackle | Acute respiratory failure, chronic respiratory failure, acute exacerbation of COPD, COPD, pneumonia, acute respiratory distress syndrome, emphysema, long-term mechanical ventilation |
RespiratoryDatabase@TR [88] | 77 | 77 |  > 17 s | COPD 0–5, wheezing, crackle | Asthma, COPD, bronchitis, healthy |