Results 11 to 20 of about 43,997 (208)
Usefulness of Simulation Based Learning in First Year Medical Students: A Quasi-experimental Study [PDF]
Introduction: Auscultation of chest is an important part of clinical patient assessment and the skills required to interpret it are traditionally learned by listening the heart and lung sounds of many different patients.
Vinod Shende +2 more
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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
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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
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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
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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
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Lung Sounds and the Stethoscope — a Lung Sounds Primer
A major difficulty for novice students when learning how to use a stethoscope for the interpretation of breath sounds is auscultatory identification of the phases of the breathing cycle.
David Cugell, Noam Gavriely, Dan Zellner
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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
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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
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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
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Background Although thoracic auscultation (AUSC) in calves is quick and easy to perform, the definition of lung sounds is highly variable and leads to poor to moderate accuracy in diagnosing bronchopneumonia (BP).
Antonio Boccardo +5 more
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