Papers Lung Sound Classification
“Lung Sound Classification” 태그가 달린 논문 17편 · 필터 해제
SS-DPPN: A self-supervised dual-path foundation model for the generalizable cardiac audio representation
The automated analysis of phonocardiograms is vital for the early diagnosis of cardiovascular disease, yet supervised deep learning is often constrained by the scarcity of expert-annotated data. In this paper, we propose…
Lung Sound ClassificationHeart rate estimationContrastive LearningA Multi-Stage Hybrid CNN-Transformer Network for Automated Pediatric Lung Sound Classification
Automated analysis of lung sound auscultation is essential for monitoring respiratory health, especially in regions facing a shortage of skilled healthcare workers. While respiratory sound classification has been widely …
Lung Sound ClassificationPatient Domain Supervised Contrastive Learning for Lung Sound Classification Using Mobile Phone
Auscultation is crucial for diagnosing lung diseases. The COVID-19 pandemic has revealed the limitations of traditional, in-person lung sound assessments. To overcome these issues, advancements in digital stethoscopes an…
Contrastive LearningDiagnosticLung Sound ClassificationSound ClassificationPatient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses
Lung sound classification is vital for early diagnosis of respiratory diseases. However, biomedical signals often exhibit inter-patient variability even among patients with the same symptoms, requiring a learning approac…
Audio ClassificationLung Sound ClassificationSound ClassificationTri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis
Auscultation remains a cornerstone of clinical practice, essential for both initial evaluation and continuous monitoring. Clinicians listen to the lung sounds and make a diagnosis by combining the patient's medical histo…
DiagnosticLung Sound ClassificationSound ClassificationILDNet: A Novel Deep Learning Framework for Interstitial Lung Disease Identification Using Respiratory Sounds
Interstitial lung disease (ILD) is a collection of pulmonary adventitious conditions that induce scarring of the lung parenchyma, fibrosis, and inflammation. ILD encompasses over 200 chronic respiratory diseases that gra…
Audio ClassificationDiagnosticLung Disease ClassificationLung Sound Classification+3Stethoscope-guided Supervised Contrastive Learning for Cross-domain Adaptation on Respiratory Sound Classification
Despite the remarkable advances in deep learning technology, achieving satisfactory performance in lung sound classification remains a challenge due to the scarcity of available data. Moreover, the respiratory sound samp…
Audio ClassificationContrastive LearningDomain AdaptationLung Sound Classification+1AsthmaSCELNet: A Lightweight Supervised Contrastive Embedding Learning Framework For Asthma Classification Using Lung Sounds
Asthma is one of the most prevalent respiratory disorders, which can be identified by different modalities such as speech, wheezing of lung sounds (LSs), spirometric measures, etc. In this paper, we propose AsthmaSCELNet…
Asthmatic Lung Sound ClassificationAudio ClassificationClassificationDiagnostic+3AsTFSONN: A Unified Framework Based on Time-Frequency Domain Self-Operational Neural Network for Asthmatic Lung Sound Classification
Asthma is one of the most severe chronic respiratory diseases which can be diagnosed using several modalities, such as lung function test or spirometric measures, peak flow meter-based measures, sputum eosinophils, patho…
Asthmatic Lung Sound ClassificationAudio ClassificationDiagnosticLung Disease Classification+3RDLINet: A Novel Lightweight Inception Network for Respiratory Disease Classification Using Lung Sounds
Respiratory diseases are the world’s third leading cause of mortality. Early detection is critical in dealing with respiratory diseases, as it improves the effectiveness of intervention, including treatment and reducing …
Audio ClassificationClassificationDiagnosticLung Disease Classification+1LungAttn: advanced lung sound classification using attention mechanism with dual TQWT and triple STFT spectrogram
Objective. Auscultation of lung sound plays an important role in the early diagnosis of lung diseases. This work aims to develop an automated adventitious lung sound detection method to reduce the workload of physicians.…
Audio ClassificationLung Sound ClassificationSound ClassificationSpecificityLung Sound Classification Using Co-tuning and Stochastic Normalization
In this paper, we use pre-trained ResNet models as backbone architectures for classification of adventitious lung sounds and respiratory diseases. The knowledge of the pre-trained model is transferred by using vanilla fi…
Audio ClassificationData AugmentationLung Sound ClassificationSound ClassificationCrackle Detection In Lung Sounds Using Transfer Learning And Multi-Input Convolitional Neural Networks
Large annotated lung sound databases are publicly available and might be used to train algorithms for diagnosis systems. However, it might be a challenge to develop a well-performing algorithm for small non-public data, …
Lung Sound ClassificationSound ClassificationTransfer LearningA Lightweight CNN Model for Detecting Respiratory Diseases from Lung Auscultation Sounds using EMD-CWT-based Hybrid Scalogram
Listening to lung sounds through auscultation is vital in examining the respiratory system for abnormalities. Automated analysis of lung auscultation sounds can be beneficial to the health systems in low-resource setting…
Lung Sound ClassificationLungRN+NL: An Improved Adventitious Lung Sound Classification Using Non-Local Block ResNet Neural Network with Mixup Data Augmentation
Performing an automated adventitious lung sound detection is a challenging task since the sound is susceptible to noises (heart-beat, motion artifacts, and audio sound) and there is subtle discrimination among different …
Audio ClassificationData AugmentationLung Sound ClassificationSound ClassificationRespiratory diseases recognition through respiratory sound with the help of deep neural network
Prediction of respiratory diseases such as COPD(Chronic obstructive pulmonary disease), URTI(upper respiratory tract infection), Bronchiectasis, Pneumonia, Bronchiolitis with the help of deep neural networks or deep lear…
Lung Disease ClassificationLung Sound ClassificationLungBRN: A Smart Digital Stethoscope for Detecting Respiratory Disease Using bi-ResNet Deep Learning Algorithm
Improving access to health care services for the medically under-served population is vital to ensure that critical illness can be addressed immediately. In the scenarios where there is a severely lacking of skilled medi…
Audio ClassificationDiagnosticLung Sound ClassificationSound Classification