This new deep learning algorithm uses Wi-Fi signals to identify breathing troubles

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This new deep learning algorithm uses Wi-Fi signals to identify breathing troubles
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Existing Wi-Fi routers can efficiently do the job.

) is always the same, and the access point knows what the signal should look like.

As the CSI streams are small, less than a kilobyte, it doesn't hinder the flow of data over the channel. And the team modified the firmware on the router and received CSI streams more frequently, up to 10 times per second, thereby receiving a clear picture of the changing signal.Leveraging deep learning to make sense

Mosleh worked on a deep learning algorithm to "comb through the CSI data, understand it, and recognize patterns that indicated different breathing problems." BreatheSmart successfully classified a variety of respiratory patterns simulated with the manikin 99.54 percent of the time, according to the release.

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