Results 1 to 10 of about 54,673 (253)

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

open access: yesFrontiers in Medicine, 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.
Elhadj Benkhelifa   +2 more
exaly   +4 more sources

Computerised Analysis of Telemonitored Respiratory Sounds for Predicting Acute Exacerbations of COPD [PDF]

open access: yesSensors, 2015
Chronic obstructive pulmonary disease (COPD) is one of the commonest causes of death in the world and poses a substantial burden on healthcare systems and patients’ quality of life. The largest component of the related healthcare costs is attributable to
Daniel Sanchez-Morillo   +2 more
exaly   +4 more sources

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

open access: yesBMC Pulmonary Medicine, 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,
Yoonjoo Kim   +5 more
doaj   +2 more sources

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

open access: yesFrontiers in Medicine
Rizwana Zulfiqar   +5 more
doaj   +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]

open access: yesBMC Medical Informatics and Decision Making
Background Auscultation is a noninvasive, real-time method of assessing respiratory diseases; however, its accuracy can vary depending on the clinician’s experience.
Soyun Kim   +8 more
doaj   +2 more sources

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

open access: yesApplied 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   +5 more
doaj   +1 more source

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

open access: yesAlexandria 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   +2 more
doaj   +1 more source

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

open access: yesScientific 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   +6 more
doaj   +1 more source

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