An algorithm can use WiFi signal changes to help identify breathing issues
The scientists changed the firmware on a router so that it would check"channel state information,” or CSI, more frequently. CSI refers to the signals that are sent from a device, such as a phone or laptop, to the router. CSI signals are consistent and the router understands what they should look like, but deviations in the environment, such as the signal being affected by surfaces or movement, modify the signals.
The team simulated several breathing conditions with a manikin and monitored changes in CSI signals with an off-the-shelf router and receiving device. To make sense of the data they collected, NIST research associate Susanna Mosleh developed the algorithm., the researchers noted that BreatheSmart correctly identified the simulated breathing conditions 99.54 percent of the time.
Mosleh and Jason Coder, who heads up NIST’s research in shared spectrum metrology, hope developers will be able to use their research to create software that canwith existing hardware. “All the ways we’re gathering the data is done on software on the access point , which could be done by an app on a phone,” Coder said. “This work tries to lay out how somebody can develop and test their own algorithm. This is a framework to help them get relevant information.
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