Repository containing the codes used for the development of a source separation system for cardiorespiratory sounds using Non-negative Matrix Factorisation (NMF). The aim is to obtain a pure respiratory sound and a pure cardiac sound using this algorithm.
RDLINet: A Novel Lightweight Inception Network for Respiratory Disease Classification Using Lung Sounds (IEEE TIM-2024)
VGAResNet: A Unified Visibility Graph Adjacency Matrix-Based Residual Network for Chronic Obstructive Pulmonary Disease Detection Using Lung Sounds
AsthmaSCELNet: A Lightweight Supervised Contrastive Embedding Learning Framework For Asthma Classification Using Lung Sounds (INTERSPEECH 2024)
AsTFSONN: A Unified Framework Based on Time-Frequency Domain Self-Operational Neural Network for Asthmatic Lung Sound Classification (IEEE MeMeA-2024)
COPD severity grading using lung sounds and machine learning
Pulmo-TS2ONN: A Novel Triple Scale Self Operational Neural Network for Pulmonary Disorder Detection Using Respiratory Sounds (IEEE TIM-2024)
RS-2-BP: A Unified Deep Learning Framework for Deriving EIT-Based Breathing Patterns from Respiratory Sounds (IEEE SPL-2024)
A Novel Multi-Head Self-Organized Operational Neural Network Architecture for Chronic Obstructive Pulmonary Disease Detection Using Lung Sounds (IEEE TASLP-2024)
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