Results 11 to 20 of about 54,615 (253)

Analysis of Respiratory Sounds: State of the Art [PDF]

open access: yesClinical 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 ...
Sandra Reichert   +3 more
openaire   +5 more sources

Detection of Respiratory Sounds Based on Wavelet Coefficients and Machine Learning

open access: yesIEEE 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

open access: yesIEEE 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

Respiratory sounds in healthy people: A systematic review [PDF]

open access: yesRespiratory 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.
Oliveira, Ana, Marques, Alda
openaire   +5 more sources

Development of a respiratory sound labeling software for training a deep learning-based respiratory sound analysis model [PDF]

open access: yesInternational Forum on Medical Imaging in Asia 2021, 2021
6 pages, 2 figures, Accepted by International Forum On Medical Imaging In Asia (IFMIA 2021)
Fu-Shun Hsu   +8 more
openaire   +2 more sources

Data augmentation using Variational Autoencoders for improvement of respiratory disease classification.

open access: yesPLoS ONE, 2022
Computerized auscultation of lung sounds is gaining importance today with the availability of lung sounds and its potential in overcoming the limitations of traditional diagnosis methods for respiratory diseases.
Jane Saldanha   +5 more
doaj   +1 more source

Respiratory modulation of heart sound morphology [PDF]

open access: yesAmerican Journal of Physiology-Heart and Circulatory Physiology, 2009
Heart sounds, the acoustic vibrations produced by the mechanical processes of the cardiac cycle, are modulated by respiratory activity. We have used computational techniques of cluster analysis and classification to study the effects of the respiratory phase and the respiratory resistive load on the temporal and morphological properties of the first ...
Guy, Amit   +3 more
openaire   +2 more sources

Stridor at Birth: Congenital Laryngeal Web

open access: yesPhilippine Journal of Otolaryngology Head and Neck Surgery, 2015
Laryngeal web is a rare entity, constituting 5% of all congenital laryngeal lesions, with a reported incidence of 1 in 10,000.1 It usually presents with stridor in childhood, but can be discovered in asymptomatic adults under anesthesia and is associated
Ma. Victoria P. Pascual
doaj   +1 more source

A Classification Method Related to Respiratory Disorder Events Based on Acoustical Analysis of Snoring

open access: yesArchives of Acoustics, 2020
Acoustical analysis of snoring provides a new approach for the diagnosis of obstructive sleep apnea hypopnea syndrome (OSAHS). A classification method is presented based on respiratory disorder events to predict the apnea-hypopnea index (AHI) of OSAHS ...
Can WANG, Jianxin PENG, Xiaowen ZHANG
doaj   +1 more source

Digital Pulmonology Practice with Phonopulmography Leveraging Artificial Intelligence: Future Perspectives Using Dual Microwave Acoustic Sensing and Imaging

open access: yesSensors, 2023
Respiratory disorders, being one of the leading causes of disability worldwide, account for constant evolution in management technologies, resulting in the incorporation of artificial intelligence (AI) in the recording and analysis of lung sounds to aid ...
Arshia K. Sethi   +14 more
doaj   +1 more source

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