Published Paper Details:

The main aim of this innovative research is to design a wearable device which is based on artificial intelligence (AI), and it is used to detect the HRV (heart rate variability) and anxiety management. This study integrates advanced sensor technologies, which include PPG, accelerometer, and GSR sensors and consequently continually capture vital physiological information. The AI algorithms applied in this device, for example, machine learning and deep learning approaches, are used to figure out the trends and the patterns, which often are subtle, from the analysed data and to link them to HRV and stress levels. This research contributes to the urgent demand for an advanced technology that helps users gain insights into their state of health by providing them with actionable data on their physiological wellness [a]. This device which presents information in real time through values of HRV, stress level, and triggers can direct people to make wise decisions about their daily activities and lifestyle. Moreover, the device streamlines the challenging interface by developing mobile applications or wearable displays. These interfaces make the user experience easy and encourage them to engage with the device in their daily routines. The rapidly evolving wearable technology and healthcare innovation scenery for this study represents a prominent step forward in the way of personalized health monitoring and management. My proposed device can create on-the-spot finances for the well-being of users, providing them with preventive care and helping them to feel more in charge of their health. With much more research and development in the pipeline, this device could change the way people track their health and lifestyle, contributing to a total wellness and good life quality.