Kate presented on “Unravelling the mechanics of cuff- based blood pressure measurement”: Cuff-based devices have been in use for over 100 years and are ubiquitous in hospitals, doctors’ surgeries and homes. However, cuff measurement is inaccurate, underestimating the...
Our entry into the 2022 George B. Moody PhysioNet challenge on automated heart sound detection won first prize. The George B. Moody PhysioNet Challenge (formerly the Computing in Cardiology/Physionet Challenge) is an annual, international competition...
Up to one-third of adult horses have valvular heart disease, which produces characteristic murmur sounds that can be detected with a stethoscope. Machine-learning algorithms combined with electronic stethoscopes have shown promise in automating the detection of...
Our research on machine learning techniques for automating the detection of valvular heart disease (VHD) was featured on BBC Look East last night. Our clinical research study, “Cardiovascular Acoustics and an Intelligent Stethoscope” is currently running...
We attended the Heart Valve Voice screening event in Westminster to talk to MPs and stakeholders about our research on improving the early detection of valvular heart disease. Picture: Acoustics Lab Research Associate Andrew McDonald (right) and cardiologist Dr Daniel...