Abnormal Respiratory Sounds Classification Using Deep CNN Through Artificial Noise Addition [PDF]
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]
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]
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]
Rizwana Zulfiqar +5 more
doaj +2 more sources
Reliability and Validity of Computerized Adventitious Respiratory Sounds in People with Bronchiectasis [PDF]
Marta Charlo Bernardos +2 more
exaly +2 more sources
Smart Devices Are Poised to Revolutionize the Usefulness of Respiratory Sounds [PDF]
Steve Kraman +2 more
exaly +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]
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
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
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
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

