Convolutional Neural Network for Breathing Phase Detection in Lung Sounds. [PDF]
We applied deep learning to create an algorithm for breathing phase detection in lung sound recordings, and we compared the breathing phases detected by the algorithm and manually annotated by two experienced lung sound researchers.
Jácome C +5 more
europepmc +7 more sources
Computer-based lung sound simulation [PDF]
An algorithm for the simulation of normal and pathological lung sounds is developed. The simulation algorithm is implemented on a personal computer as well as on a digital signal processor system in real time. Normal, bronchial and tracheal breathing sounds can be generated, and continuous and discontinuous adventitious lung sounds can be added.
Kompis, M, Russi, E W
openaire +6 more sources
Recognition of pulmonary diseases from lung sounds using convolutional neural networks and long short-term memory. [PDF]
Fraiwan M +3 more
europepmc +3 more sources
Deep Learning-Based Classification of Common Lung Sounds via Auto-Detected Respiratory Cycles [PDF]
Chronic respiratory diseases, the third leading cause of mortality on a global scale, can be diagnosed at an early stage through non-invasive auscultation.
Mustafa Alptekin Engin +4 more
doaj +2 more sources
Multi-channel lung sounds intelligent diagnosis of chronic obstructive pulmonary disease. [PDF]
Yu H +5 more
europepmc +3 more sources
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. [PDF]
Bohadana A +4 more
europepmc +3 more sources
Breath characteristics and adventitious lung sounds in healthy and asthmatic horses. [PDF]
Greim E +6 more
europepmc +3 more sources
[Lung sounds can be used as an indicator for assessing severity of chronic obstructive pulmonary disease at the initial diagnosis]. [PDF]
Chen S +11 more
europepmc +3 more sources
Usefulness of Simulation Based Learning in First Year Medical Students: A Quasi-experimental Study [PDF]
Introduction: Auscultation of chest is an important part of clinical patient assessment and the skills required to interpret it are traditionally learned by listening the heart and lung sounds of many different patients.
Vinod Shende +2 more
doaj +1 more source

