Using their newly developed and patented radar system, the researchers monitored cane toads and were able accurately to detect pauses in breathing patterns remotely. The system was also used on devices that simulate human breathing.
The scientists say this demonstrates a proof of principle for using photonic radar that could enable the vital-sign monitoring of multiple patients from a single, centralised station.
The University of Sydney Pro-Vice-Chancellor (Research) and lead for this research Professor Ben Eggleton said: “Our guiding principle here is to overcome comfort and privacy issues, while delivering highly accurate vital sign monitoring.”
An advantage to this approach is the ability to detect vital signs from a distance, eliminating the need for physical contact with patients. This not only enhances patient comfort but reduces the risk of cross-contamination, making it valuable in settings where infection control is crucial.
“Photonic radar uses a light-based, photonics system – rather than traditional electronics – to generate, collect and process the radar signals. This approach allows for very wideband generation of radio frequency (RF) signals, offering highly precise and simultaneous, multiple tracking of subjects,” said lead author Ziqian Zhang, a PhD student in the School of Physics.
“Our system combined this approach with LiDAR – light detection and ranging. This hybrid approach delivered a vital sign detection system with a resolution down to six millimetres with micrometre-level accuracy. This is suitable for clinical environments.”
Alternate approaches to non-contact monitoring have typically relied on optical sensors, using infrared and visible wavelength cameras.
“Camera-based systems have two problems. One is high sensitivity to variations in lighting conditions and skin colour. The other is with patient privacy, with high-resolution images of patients being recorded and stored in cloud computing infrastructure,” said Professor Eggleton who is also the co-Director of the NSW Smart Sensing Network.
Radio frequency (RF) detection technology can remotely monitor vital signs without the need for visual recording, providing built-in privacy protection. Signal analysis, including identification of health signatures, can be performed with no requirement for cloud storage of information.
Co-author Dr Yang Liu, a former PhD student in Professor Eggleton’s team, now based at EPFL in Switzerland, said: “A real innovation in our approach is complementarity: our demonstrated system has the capability to simultaneously enable radar and LiDAR detection. This has inbuilt redundancy; if either system encounters a fault, the other continues to function.”