Touch-free vital signs monitor enabled with radar system
Image credit: Dreamstime
A radar-based system that can detect a patient’s vital signs without touching them has been designed by scientists at Edinburgh's Heriot-Watt University.
The system works by sensing tiny chest movements to accurately measure an individual’s heart rate and respiratory rate without the need for wires, probes, wearable technology or other skin attachments.
It could also identify early signs of heart disease like arrythmia while highlighting deterioration for those living with dementia, the researchers said.
The new technique will benefit all ages, as well as those with Covid-19 where the risk of cross-infection is high.
Associate professor and project lead Dr Dimitris Anagnostou (pictured below) said: “Continuous monitoring of an individual’s vital signs can be necessary for several reasons.
“In hospital, it helps clinicians to determine which patients need urgent help, if someone is improving and can provide early warning signs of a more significant problem allowing quicker intervention.
“For infants and young children, extended use of electrodes and probes can cause skin damage as well as additional distress.
“Burn patients and those with compromised skin conditions are more challenging to monitor for long periods with wired devices. Our technology allows a patient full mobility while being monitored 24/7. Capable of working unmanned, the signal can also penetrate walls and protects privacy.
“Our approach has wide-reaching applications for the treatment of Covid-19 and can allow the progression of the virus to be monitored long-term without increasing the risk of infection.”
Radars have been widely used for many years to determine the distance between aircrafts or the velocity of a vehicle by comparing the frequency or phase shift of the reflected and transmitted signals.
The new research works by detecting tiny physiological movements in the body of around 1mm, even when an individual is asleep.
The results suggest the system has excellent accuracy even if a relatively low frequency (2.4GHz) is used, which should help to aid its use in home and clinical settings.
The team has designed a proof-of-concept prototype which can be built into a hospital headboard or mounted on the ceiling. Further applications could include its use in prisons, care homes and sheltered housing.
The team will now take the project a step further, utilising Wi-Fi signals to extract complimentary location and position-tracking data that will further support those with assisted living needs to feel safer at home. The team will trial the technology which shows when a person has fallen or if their daily movements have significantly changed, highlighting the progression of several degenerative diseases.
Additional funding is now being sought to accelerate the technology into clinical settings.
Last month, Northwestern University researchers developed an AI that can detect signs of Covid-19 by looking at X-ray images of a patient's lungs.
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