Results 11 to 20 of about 120,712 (335)

Convolutional Neural Network for Breathing Phase Detection in Lung Sounds. [PDF]

open access: goldSensors (Basel), 2019
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]

open access: yesMedical & Biological Engineering & Computing, 1997
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

Deep Learning-Based Classification of Common Lung Sounds via Auto-Detected Respiratory Cycles [PDF]

open access: yesBioengineering
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

[Lung sounds can be used as an indicator for assessing severity of chronic obstructive pulmonary disease at the initial diagnosis]. [PDF]

open access: greenNan Fang Yi Ke Da Xue Xue Bao, 2020
Chen S   +11 more
europepmc   +3 more sources

Usefulness of Simulation Based Learning in First Year Medical Students: A Quasi-experimental Study [PDF]

open access: yesJournal of Clinical and Diagnostic Research, 2022
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

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