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The WiFi signal can detect respiratory pathologies with very high accuracy

The router's signal can be reflected by walls, objects, and even people Based on this WiFi wave behavior, engineers at the National Institute of Standards and Technology (NIST) they have designed a respiration monitoring system and described how a prototype of a unique device works. This would detect and reveal what a person's respiratory pathologies are.

The router's WiFi signal is much more useful than we think: in addition to surfing the net, it can also detect respiratory diseases

If a person has problems with the lungs, larynx or nose, then the movements of the chest and abdomen during the inhalation and exhalation cycles will change. To detect these changes, WiFi signal waves can be used. It is reflected by objects, which means that the router can be used as a radar - you just need to develop an algorithm to analyze the received signals.

The authors of the idea and the experiment are researchers from the National Institute of Standards and Technology (NIST). To test their hypothesis they changed the firmware of the router so that it received link state information (CSI) up to 10 times per second. During a CSI request, the router amplified the signal and "listened" to see how the response signal changes. These changes can be compared to the difference between sound and the resulting echo. To make you understand, bats orient themselves in space in a similar way.

wifi for respiratory pathologies

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By the difference in the "pattern" of the two incoming signals, one can understand what changes have occurred in the environment at the time of waiting for an answer. The researchers also wrote a router program that analyzes the received CSI signals. The modified router was called BreatheSmart. During testing, the scientists found that BreatheSmart was accurate enough to capture the movements of people in the room, including the movement of their chests as they breathed. For more extensive testing, the engineers used a dummy with various breathing mockups. Accordingly, the device has correctly captured 99.54% of various chest movement patterns.

The researchers considered the experiment a success and shared their plans to develop a smartphone application that will allow them to receive information from BreatheSmart via WiFi. In the future, this technology could help diagnose health problems even before a person feels sick.

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Gianluca Cobucci
Gianluca Cobucci

Passionate about code, languages ​​and languages, man-machine interfaces. All that is technological evolution is of interest to me. I try to divulge my passion with the utmost clarity, relying on reliable sources and not "on the first pass".

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