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Centaur -Annotate Medical Audio Software
Audio clips from medical devices are critical indicators of patient health, and can be leveraged to train predictive algorithms that detect heart conditions, lung abnormalities, and more. Our annotation platform is tailored specifically to medical audio clips, with features such as range selection, spectrogram integration, and motion data integration.
Tag the presence of, intensity and time range of heart murmurs, rubs, clicks, S1, S2 and more.
Tag the presence of, intensity and time range of crackles, ronchi, wheezes, stridor, breath sounds and more.
Tag the presence of, intensity and time range of bruits and Korotkoff sounds.
Tag the presence of, intensity and time range of bowel sounds, rubs, or vascular bruits.
Tag intonation, emotion, symptoms and medications discussed in clinical interactions.
- Classification
- Range selection