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 …
stethoscopes have inherent limitations, such as inter-listener variability and subjectivity, and …
Machine learning for automated classification of abnormal lung sounds obtained from public databases: a systematic review
Pulmonary auscultation is essential for detecting abnormal lung sounds during physical
assessments, but its reliability depends on the operator. Machine learning (ML) models offer …
assessments, but its reliability depends on the operator. Machine learning (ML) models offer …
CNN-MoE based framework for classification of respiratory anomalies and lung disease detection
This paper presents and explores a robust deep learning framework for auscultation
analysis. This aims to classify anomalies in respiratory cycles and detect diseases, from …
analysis. This aims to classify anomalies in respiratory cycles and detect diseases, from …
Explainable CNN with fuzzy tree regularization for respiratory sound analysis
J Li, C Wang, J Chen, H Zhang, Y Dai… - … on Fuzzy Systems, 2022 - ieeexplore.ieee.org
Auscultation is an important tool for diagnosing respiratory-related diseases. Unfortunately,
the quality of auscultation is limited by the professional level of the doctor and the …
the quality of auscultation is limited by the professional level of the doctor and the …
Lung Respiratory Audio Prediction using Transfer Learning Models
lung disease is now the leading cause of death worldwide. Lung disease is typically
discovered in its final stages, after it has progressed to a serious state. However, the early …
discovered in its final stages, after it has progressed to a serious state. However, the early …
Accuracy and inter‐rater reliability of lung auscultation by bovine practitioners when compared with ultrasonographic findings
In practice, veterinary surgeons frequently rely on lung auscultation as a confirmation test for
pneumonia. To what extent diagnostic accuracy of lung auscultation varies between different …
pneumonia. To what extent diagnostic accuracy of lung auscultation varies between different …
Deep learning framework applied for predicting anomaly of respiratory sounds
This paper proposes a robust deep learning framework used for classifying anomaly of
respiratory cycles. Initially, our framework starts with front-end feature extraction step. This …
respiratory cycles. Initially, our framework starts with front-end feature extraction step. This …
Novel design of a multimodal technology-based smart stethoscope for personal cardiovascular health monitoring
Heart sounds and heart rate (pulse) are the most common physiological signals used in the
diagnosis of cardiovascular diseases. Measuring these signals using a device and …
diagnosis of cardiovascular diseases. Measuring these signals using a device and …
A multi-center clinical trial for wireless stethoscope-based diagnosis and prognosis of children community-acquired pneumonia
Community-Acquired Pneumonia (CAP) is a significant cause of child mortality globally, due
to the lack of ubiquitous monitoring methods. Clinically, the wireless stethoscope can be a …
to the lack of ubiquitous monitoring methods. Clinically, the wireless stethoscope can be a …
Transfer learning aided classification of lung sounds-wheezes and crackles
Nowadays, Lung diseases are the most life-threatening disease. In maximum belongings of
lung disease are noticed once the illness is in the progressive stage, detection of lung …
lung disease are noticed once the illness is in the progressive stage, detection of lung …