Abstract
A team led by researchers at the University at Buffalo has used Bluetooth earbuds and a deep learning Al system to diagnose three common ear conditions with a simple, non-invasive audio test that uses a sonar-like audio chirp to map out the ear structure. The EarHealth system uses a set of Bluetooth earbuds, augmented with inward-facing microphones, connected to a smartphone app. It sends a chirping audio signal into the ear, then the microphones record how that signal reverberates through the ear canals, enabling the system to create a profile of each user's unique inner ear shape. A team led by researchers at the University at Buffalo has used Bluetooth earbuds and a deep learning Al system to diagnose three common ear conditions with a simple, non-invasive audio test that uses a sonar-like audio chirp to map out the ear structure. The EarHealth system uses a set of Bluetooth earbuds, augmented with inward-facing microphones, connected to a smartphone app. It sends a chirping audio signal into the ear, then the microphones record how that signal reverberates through the ear canals, enabling the system to create a profile of each user's unique inner ear shape.
Key Data
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Publication Date04 August 2022
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Primary AuthorLoz Blain
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SourceUniversity at Buffalo
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LanguageEnglish
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