Headphones can now accurately diagnose three major ear diseases

A group of researchers from the University at Buffalo used headphones and an artificial intelligence system

for deep learning to diagnose threecommon ear conditions with a simple, non-invasive audio test. They used a sonar-like sound to determine the structure of the ear.

The EarHealth system uses in-ear headphones with an inward-facing microphone hook.
Photo: University of Buffalo

The EarHealth system uses a setBluetooth headphones with inward-facing microphones. They are connected to a smartphone app. It sends a sound signal to the ear, and then microphones record how it is reflected in the ear canals. All this allows the system to create a profile of the unique shape of the inner ear of each user.

Readings are taken while the user is healthy,to understand the structure of a healthy ear. The same test is then periodically run to look for changes. In human trials with 92 volunteers, the system diagnosed three common conditions that change ear geometry simply by checking for changes in the inner ear with an accuracy of 82.6%.

The researchers identified four differentstates that change the returned audio signal in such a way that the deep learning system can recognize and diagnose the pathology with more than 80% accuracy.
Photo: University at Buffalo

Headphones fix three states:blockage of earwax, ruptured eardrums and otitis media. In many cases, the system identified them long before they were a major problem.

Read more:

Soon a solar storm will hit the Earth: the material flies at a speed of 800 km / s

What are supergenes and how do they make animals so weird

Cancer tumors were deprived of "fuel" with the help of cold: how it helped