Our AI radio algorithm is susceptible to any movements, making it ideal for detecting movements, including human chest movement caused by respiration and slight surface vibrations due to one’s heartbeat. We have developed a cutting-edge denoising estimation neural network based on a deep diffusion model. This network significantly enhances the precision of vital sign detection by reconstructing the pulse and breathing rate from radio data.

Leveraging the outcomes of our core technologies, we have designed algorithms to detect various anomalies tailored to our client’s specific needs. For instance, in elderly care centres, our technology can detect walking, seating, sleeping and falling. Sleep monitoring can identify changes in sleep patterns, which often indicate chronic health issues. These algorithms are available through APIs, facilitating seamless integration with existing IT systems.