Results 81 to 90 of about 1,083,600 (194)
Machine Learning for Automated Classification of Abnormal Lung Sounds Obtained from Public Databases: A Systematic Review. [PDF]
Garcia-Mendez JP +13 more
europepmc +1 more source
NeoSSNet: Real-Time Neonatal Chest Sound Separation Using Deep Learning
Goal: Auscultation for neonates is a simple and non-invasive method of diagnosing cardiovascular and respiratory disease. However, obtaining high-quality chest sounds containing only heart or lung sounds is non-trivial. Hence, this study introduces a new
Yang Yi Poh +8 more
doaj +1 more source
Real-time counting of wheezing events from lung sounds using deep learning algorithms: Implications for disease prediction and early intervention. [PDF]
Im S +14 more
europepmc +1 more source
Stethoscope-based auscultation is the most efficient, non-invasive and inexpensive technique for assessing lung conditions on the base of lung sounds analysis. However, it provides a subjective perception of lung sounds. Additionally, the stethoscope
Tessema, Biruk Abera
core
Breath sounds and distribution of pulmonary ventilation
A phonocardiograph and microphone fixed on the chest wall, have been used to record normal breath sounds at controlled lung volumes and flow rates in different lung zones and body positions.
Leblanc, Pierre
core
Contrastive learning of heart and lung sounds for label-efficient diagnosis. [PDF]
Soni PN +4 more
europepmc +1 more source
Rheumatoid arthritis is an autoimmune disease impacting around 1% of population. One of the most severe comorbidity is interstitial lung disease. Currently, the treatment is effective only in the very early stages of the disease.
Pancaldi, Fabrizio, Dibiase, Luca
core +1 more source
Acquisition and Classification of Lung Sounds for Improving the Efficacy of Auscultation Diagnosis of Pulmonary Diseases. [PDF]
Abera Tessema B +2 more
europepmc +1 more source
The research of lung sound signals based on cepstrum analysis
In this paper, we proposed a new method of signal processing techniques for the application of analyzing four typical lung-sound signals (tracheal breath sounds, vesicular breath sounds, inspiratory and expiratory stridor, and stridor).
Miao L(缪磊) +3 more
core

