Thanks to artificial intelligence, American researchers have turned helmets into a medical diagnostic tool. By analyzing the resonance of an audio signal, they can detect earplugs, ruptured eardrums, and ear infections.
L’deep learning, or deep learning, over the past ten years has led to great advances in artificial intelligence (AI). Thanks to neural networks, it can train algorithms for many tasks such as face recognition, machine translation, and even for the diagnosis of certain diseases. Indeed, researchers have developed an AI that can check the health of the ears.
The system was named(ear health) and works through in-ear headphones connected to a smartphone equipped with a platform . The headset emits a chirp or pulse with a linear frequency modulation. The AI uses a built-in microphone to measure how this sound signal resonates in the ear canals and thus creates a profile of the unique geometry of the ear canal. owner.
Simple headphones to detect three diseases
The system will then beep regularly, for example once a day, to ensure that this profile has not changed. It is able to detect three conditions that change the geometry of the ear canals:gap And one .
The researchers tested their system on 92 volunteers, including 27 without hearing problems, 22 with25 people suffering from otitis and finally 18 people with cork . The AI was able to correctly identify states 82.6% of the time. The next step is to study the influence of other factors such as body hair or background. the eardrum may interfere with these results.
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