UNN researchers develop solutions for Sber's smart ring
Smart devices for personal health monitoring are gaining popularity in the market of wearable technology, both in Russia and globally.
Scientists at the UNN Research Centre for Artificial Intelligence and the Institute of Aging Biology, under a contract with SberDevices, a partner company of Sber, are developing innovative neural network algorithms. These algorithms are designed to assess stress levels, stress resistance, the body's adaptation to stress, and work performance. The successful implementation has resulted in a user-accessible mechanism for identifying stressful situations and providing recommendations on how to prevent and avoid such situations.
"Stress is a defensive reaction to threats and uncertainties that we face in our daily lives. Mobilization under stress allows us to overcome obstacles and achieve success in dealing with new extremal tasks. However, under stress, the price of success is the damage to our bodies. It is important to assess the body's ability to restore optimal functionality. To answer this question, we have developed AI solutions that allow us to assess a person's condition based on the results of a rhythmogram analysis, by calculating indicators of stress tension and functional reserves of the body," said Mikhail Ivanchenko, Director of the UNN Institute of Biology of Aging, chief researcher at the Laboratory for Artificial Intelligence in Preventive Medicine at Lobachevsky University's AI Research Centre.
"The analysis of changes in the functional state of the body throughout the day provides key insights not only for a personalised forecast of the person's robustness, stability, and effectiveness, but it also allows us to preemptively identify potential risks of stress-related health issues. We have developed a system of targeted recommendations for improving well-being, taking into account these predicted risks," adds Sofia Polevaya, Head of the UNN Psychophysiology Department and leading researcher at the Laboratory for Artificial Intelligence in Preventive Medicine.
Developing a compact version of the algorithms for the characteristics of a smart device became a separate task. Furthermore, researchers have developed a digital simulator, a tool for assessing a person's physiological parameters based on the data obtained (pulse, heart rate variability, oxygenation) for virtual experiments that SberDevices developers conduct to improve engineering solutions.
"Sber is a key partner of the UNN Research Centre for Artificial Intelligence," concludes the Centre’s director Nikolai Zolotykh. "We are proud to have developed a number of solutions in our first year of operation, and everyone will soon be able to benefit from these results."
