Principal Investigator Ramesh Raskar
Project Website http://www.media.mit.edu.ezproxy.canberra.edu.au/projects/identi-wheez-a-device-for-in-home-diagnosis-o…
Asthma is the most common chronic illness among children. The skills required to diagnose it make it an even greater concern. Our solution is a child-friendly wearable device that allows in-home diagnosis of asthma. The device acquires simultaneous measurements from multiple stethoscopes. The recordings are then sent to a specialist who uses assistive diagnosis algorithms that enable auscultation (listening to lung sounds with a stethoscope). Sound refocusing algorithms enable the specialist to listen to any location in the lungs. The specialist also has access to a sound "heat map" that shows the location of sound sources in the lungs.