Results 21 to 30 of about 120,712 (335)
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
Background. Technological advancement may bridge gaps between long-practiced medical competencies and modern technologies. Such a domain is the application of digital stethoscopes used for physical examination in telemedicine.
Diana Magor +11 more
doaj +1 more source
Lung sound classification using wavelet transform and entropy to detect lung abnormality [PDF]
Lung sounds provide essential information about the health of the lungs and respiratory tract. They have unique and distinguishable patterns associated with the abnormalities in these organs.
Rizal Achmad, Puspitasari Attika
doaj +1 more source
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
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
Clinical presentation, auscultation recordings, ultrasonographic findings and treatment response of 12 adult cattle with chronic suppurative pneumonia: case study [PDF]
Auscultation is considered the critical component of the veterinary clinical examination for the diagnosis of bovine respiratory disease but the accuracy with which adventitious sounds reflect underlying lung pathology remains largely unproven.
B Pardon +22 more
core +2 more sources
Deep learning-based lung sound analysis for intelligent stethoscope
Auscultation is crucial for the diagnosis of respiratory system diseases. However, traditional stethoscopes have inherent limitations, such as inter-listener variability and subjectivity, and they cannot record respiratory sounds for offline ...
Dong-Min Huang +5 more
doaj +1 more source
Principles of appropriate antibiotic use for treatment of uncomplicated acute bronchitis: background. [PDF]
The following principles of appropriate antibiotic use for adults with acute bronchitis apply to immunocompetent adults without complicating comorbid conditions, such as chronic lung or heart disease.
Bartlett, JG +7 more
core +2 more sources
Using K-Nearest Neighbor Classification to Diagnose Abnormal Lung Sounds
A reported 30% of people worldwide have abnormal lung sounds, including crackles, rhonchi, and wheezes. To date, the traditional stethoscope remains the most popular tool used by physicians to diagnose such abnormal lung sounds, however, many problems ...
Chin-Hsing Chen +4 more
doaj +1 more source
Validation of computerized wheeze detection in young infants during the first months of life [PDF]
Background Several respiratory diseases are associated with specific respiratory sounds. In contrast to auscultation, computerized lung sound analysis is objective and can be performed continuously over an extended period.
Fischer, Hendrik S. +5 more
core +2 more sources

