Results 1 to 10 of about 54,496 (140)

Abnormal Respiratory Sounds Classification Using Deep CNN Through Artificial Noise Addition. [PDF]

Front Med (Lausanne), 2021
Respiratory sound (RS) attributes and their analyses structure a fundamental piece of pneumonic pathology, and it gives symptomatic data regarding a patient's lung.
Zulfiqar R, Majeed F, Irfan R, Rauf HT, Benkhelifa E, Belkacem AN.   +5 more
europepmc   +2 more sources

The coming era of a new auscultation system for analyzing respiratory sounds. [PDF]

BMC Pulm Med, 2022
Auscultation with stethoscope has been an essential tool for diagnosing the patients with respiratory disease. Although auscultation is non-invasive, rapid, and inexpensive, it has intrinsic limitations such as inter-listener variability and subjectivity,
Kim Y, Hyon Y, Lee S, Woo SD, Ha T, Chung C.   +5 more
europepmc   +2 more sources

Localization of adventitious respiratory sounds. [PDF]

J Acoust Soc Am, 2018
In a recent publication by Henry and Royston [J. Acoust. Soc. Am. 142, 1774–1783 (2017)], an algorithm was introduced to calculate the acoustic response to externally introduced and endogenous respiratory sounds within a realistic, patient-specific subglottal airway tree. This work is extended using an efficient numerical boundary element (BE) approach
Henry B, Royston TJ.
europepmc   +4 more sources

Corrigendum: Abnormal respiratory sounds classification using deep CNN through artificial noise addition. [PDF]

Front Med (Lausanne)
Zulfiqar R, Majeed F, Irfan R, Rauf HT, Benkhelifa E, Belkacem AN.   +5 more
europepmc   +2 more sources

Respiratory sound analysis for ICU clinical decision support: deep learning-based classification of normal and abnormal sounds using real ICU data. [PDF]

BMC Med Inform Decis Mak
Background Auscultation is a noninvasive, real-time method of assessing respiratory diseases; however, its accuracy can vary depending on the clinician’s experience.
Kim S, Lee MR, Ha T, Hyon Y, Lee S, Jo J, Chung C, Kim Y, Lee SI.   +8 more
europepmc   +2 more sources

Detection of Respiratory Phases in a Breath Sound and Their Subsequent Utilization in a Diagnosis

Applied Sciences, 2021
Detection of lung sounds and their propagation is a powerful tool for analysing the behaviour of the respiratory system. A common approach to detect the respiratory sounds is lung auscultation, however, this method has significant limitations including ...
David Skalicky, Vaclav Koucky, Daniel Hadraba, Martin Viteznik, Martin Dub, Frantisek Lopot   +5 more
doaj   +1 more source

Pay attention to the speech: COVID-19 diagnosis using machine learning and crowdsourced respiratory and speech recordings

Alexandria Engineering Journal, 2022
Since the outbreak of COVID-19, many efforts have been made to utilize the respiratory sounds and coughs collected by smartphones for training Machine Learning models to classify and distinguish COVID-19 sounds from healthy ones.
Mahmoud Aly, Kamel H. Rahouma, Safwat M. Ramzy   +2 more
doaj   +1 more source

Respiratory sound classification for crackles, wheezes, and rhonchi in the clinical field using deep learning

Scientific Reports, 2021
Auscultation has been essential part of the physical examination; this is non-invasive, real-time, and very informative. Detection of abnormal respiratory sounds with a stethoscope is important in diagnosing respiratory diseases and providing first aid ...
Yoonjoo Kim, YunKyong Hyon, Sung Soo Jung, Sunju Lee, Geon Yoo, Chaeuk Chung, Taeyoung Ha   +6 more
doaj   +1 more source

Survey of respiratory sounds in infants [PDF]

Archives of Disease in Childhood, 2001
Over the last decade there has been an apparent increase in childhood wheeze. We speculated that much of the reported increase may be attributed to the term wheeze being adopted by parents to describe a variety of other forms of noisy breathing.To investigate terminology used by parents to describe their children's breath sounds.An interview was ...
Elphick, H.E., Sherlock, P., Foxall, G., Simpson, E.J., Shiell, N.A., Primhak, R.A., Everard, M.L.   +6 more
openaire   +4 more sources

New insight in the auscultation of respiratory sounds.

Ann Thorac Med, 2015
Andrès E.
europepmc   +4 more sources