Researchers led by U.S. National Institute of Standards and Technology scientists developed the BreatheSmart algorithm to analyze a person's movements and determine whether they have difficulty breathing via Wi-Fi routers and devices.
The researchers tweaked the firmware on a Wi-Fi router to request channel state information (CSI) up to 10 times per second to receive a detailed picture of how such data was changing.
The researchers had a medical training manikin mimic various breathing conditions, its chest movements altering the path traveled by the Wi-Fi signal.
The BreatheSmart algorithm applied deep learning to process this data, and classified respiratory patterns simulated by the manikin with 99.54% accuracy.
From U.S. National Institute of Standards and Technology
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