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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, Fiaz Majeed, Rizwana Irfan, Hafiz Tayyab Rauf, Elhadj Benkhelifa, Abdelkader Nasreddine Belkacem   +5 more
doaj   +4 more sources

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

BMC 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, YunKyong Hyon, Sunju Lee, Seong-Dae Woo, Taeyoung Ha, Chaeuk Chung   +5 more
doaj   +2 more sources

Survey of respiratory sounds in infants [PDF]

Archives of Disease in Childhood, 2001
Background: 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 ...
Elphick, H.E., Everard, M.L., Foxall, G., Primhak, R.A., Sherlock, P., Shiell, N.A., Simpson, E.J.   +6 more
core   +6 more sources

Automatic Lung Health Screening Using Respiratory Sounds. [PDF]

J Med Syst, 2021
Significant changes have been made on audio-based technologies over years in several different fields. Healthcare is no exception. One of such avenues is health screening based on respiratory sounds. In this paper, we developed a tool to detect respiratory sounds that come from respiratory infection carrying patients.
Mukherjee H, Sreerama P, Dhar A, Obaidullah SM, Roy K, Mahmud M, Santosh KC.   +6 more
europepmc   +5 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]

Frontiers in Medicine
Rizwana Zulfiqar, Fiaz Majeed, Rizwana Irfan, Hafiz Tayyab Rauf, Elhadj Benkhelifa, Abdelkader Nasreddine Belkacem   +5 more
doaj   +2 more sources

Respiratory-swallow assessment protocol for adult dysphagia management [PDF]

BMC Research Notes
Introduction Cervical auscultation (CA) analyzes respiratory-swallow patterns to enhance the clinical swallow examination. A growing body of research demonstrates CA’s strong psychometric properties for detecting unsafe swallows.
Liza Bergström, Julie Cichero, Mariam Jaghbeer, Anna-Liisa Sutt   +3 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]

BMC 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, Mi Ra Lee, Taeyoung Ha, YunKyong Hyon, Sunju Lee, Junhong Jo, Chaeuk Chung, Yoonjoo Kim, Song I Lee   +8 more
doaj   +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