Teja Reddy Gatla, AI expert came up with a novel device to monitor Heart Variability and Stress Analysis using Artificial Intelligence. The device is innovatively crafted as a flexible strap, allowing wearers to comfortably fit it on their arms, legs, or any part of the body where blood vessels are readily accessible for sensor detection.
Its adjustable nature ensures it can conform to various body parts, optimizing the capture of physiological data. In discussions over exhibition, Teja stated that AI is playing a significant role in research of intelligent sensors to give rise to the next generation of wearables for health care. The core functionality of the device hinges on its sophisticated sensors, which gather data for subsequent analysis.
Artificial intelligence forms the backbone of this technology, enabling precise and insightful interpretation of the physiological signals collected. The design of the device is the result of a meticulous integration of multiple technologies, aiming for accurate, near real-time measurements of physiological indicators.
A key component of this device is the Electrodermal Activity (EDA) sensors. These sensors are adept at detecting changes in skin conductance, indicative of sympathetic nervous system activity. Such changes, imperceptible to the human eye, can reveal significant insights into an individual’s stress levels and emotional responses. This allows users to adopt a comprehensive approach to managing their physiological state.
Although SpO2 sensors, which monitor blood oxygen levels, may not provide as much diagnostic value as lung scanners, they play a vital role in assessing respiratory function and blood oxygenation. Regular monitoring of oxygenation levels can serve as an early warning for health issues potentially related to physiological stress. Consequently, SpO2 measurements become a critical component of effective stress management strategies. These sensors offer immediate insights into a patient’s respiratory status, enabling timely intervention to prevent severe complications.