Currently, there are very few sound-based diagnostic devices in the healthcare sector. One of the oldest instruments, the stethoscope, requires years of training to understand the sounds heard through it. Many studies have noticed significant observer variability in its use. New light-based devices such as Fitbit or Apple Watch can read the heart rate and breathing rate. Though these devices can provide basic information, sound can provide rich information regarding a body organ and its functions. Auscult is a listening device that can get quality first-hand information about the state of an organ. A user can wear multiple Auscult devices to acquire site-specific sound which can be fed into machine learning algorithms, thereby getting interesting correlations and organ data visualisations.
Keywords: auscultation, healthcare, machine learning, sound, wearable