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Abnormal Respiratory Sounds Classification Using Deep CNN Through Artificial Noise Addition [PDF]
Frontiers 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.
Rizwana Zulfiqar +5 more
doaj +6 more sources
Respiratory Sounds in Healthy People: A Systematic Review [PDF]
Respiratory Medicine, 2014 There is a lack of systematised information on respiratory sounds of healthy people. This impairs health professionals from differentiating respiratory sounds of healthy people from people with respiratory diseases, which may affect patients' diagnosis and treatment.
Ana Oliveira, Alda Marques
exaly +6 more sources
Analysis of Respiratory Sounds: State of the Art [PDF]
Clinical Medicine Circulatory, Respiratory and Pulmonary Medicine, 2008 Objective This paper describes state of the art, scientific publications and ongoing research related to the methods of analysis of respiratory sounds. Methods and material Review of the current medical and technological literature ...
Emmanuel Andres, Sandra Reichert
exaly +5 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 +5 more
doaj +3 more sources
Localization of adventitious respiratory sounds [PDF]
The Journal of the Acoustical Society of America, 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
Brian, Henry, Thomas J, Royston
openaire +3 more sources
Detection of Respiratory Sounds Based on Wavelet Coefficients and Machine Learning
IEEE Access, 2020 Respiratory sounds reveal important information of the lungs of patients. However, the analysis of lung sounds depends significantly on the medical skills and diagnostic experience of the physicians and is a time-consuming process.
Fei Meng +4 more
doaj +3 more sources
Triple-Classification of Respiratory Sounds Using Optimized S-Transform and Deep Residual Networks
IEEE Access, 2019 Digital respiratory sounds provide valuable information for telemedicine and smart diagnosis in an non-invasive way of pathological detection. As the typical continuous abnormal respiratory sound, wheeze is clinically correlated with asthma or chronic ...
Hai Chen +4 more
doaj +3 more sources
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 +2 more
doaj +1 more source
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 +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. +6 more
openaire +4 more sources