1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Practicality meets precision: Wearable vest with integrated multi-channel PCG sensors for effective coronary artery disease pre-screening
Matthew Fynn, Kayapanda Mandana, Javed Rashid +3
The leading cause of mortality and morbidity worldwide is cardiovascular disease (CVD), with coronary artery disease (CAD) being the largest sub-category. Unfortunately, myocardial…