3 papers
cs.SD2026
Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals
Milan Marocchi, Matthew Fynn, Kayapanda Mandana +1
Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for approximately 17.9 million deaths each year. Early detection is critical, creating a demand…
eess.AS2026
Noise-Robust Contrastive Learning with an MFCC-Conformer For Coronary Artery Disease Detection
Milan Marocchi, Matthew Fynn, Yue Rong
Cardiovascular diseases (CVD) are the leading cause of death worldwide, with coronary artery disease (CAD) comprising the largest subcategory of CVDs. Recently, there has been incr…
cs.SD2025
Generative Deep Learning and Signal Processing for Data Augmentation of Cardiac Auscultation Signals: Improving Model Robustness Using Synthetic Audio
Leigh Abbott, Milan Marocchi, Matthew Fynn +2
Accurately interpreting cardiac auscultation signals plays a crucial role in diagnosing and managing cardiovascular diseases. However, the paucity of labelled data inhibits classif…