Audio clips from medical devices can be powerful indicators of a patient’s health and can be leveraged to train predictive algorithms to detect heart conditions, lung abnormalities, and more.
We have annotation and classification services tailored specifically to medical audio clips, with features such as range selection, spectrogram integration, and motion data integration. Our work includes identifying cough and wheeze, classifying heart murmurs, and detecting the number of abnormal breath sounds.
I was personally really impressed by Centaur's approach to annotation which ended up providing us with excellent labels on what was ultimately a difficult task on noisy data. Centaur understood what the issues were quickly from the beginning and were able to help steer the project for us. And more importantly they were a real joy to work with—they always went out of their way to help problem solve for us. Thanks for a really great experience!