MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641050652 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on April 21, for 'a system and method for smart health tracking using multi-sensor integration and predictive analytics.'
Inventor(s) include Aashish A; Akila K; Ganesh Kumar D; Navami Gopan; Karpagavalli; Parthasarathy R; Johnsi Inbakumari; Kavitha M; Mahesh Kumar PG; and Aarthi A.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "This disclosure is about a system and method for smart health tracking that uses adaptive multi-sensor fusion, edge-based predictive analytics, and real-time biomedical digital twin generation. The system has a multi-modal sensor layer that can collect physiological, biomechanical, and environmental data about a user in real time. A module for adaptive sensor calibration and drift correction makes sure that sensor errors are always fixed by using cross-sensor validation. An edge computing unit processes data from multiple sources locally to find health-related features more quickly and efficiently. A predictive health trajectory engine looks at how physiological signals change over time to find health risks and problems that are still in their early stages. The system also has a biomedical digital twin module that makes and keeps up to date a virtual model of the user's physiological state for proactive health assessment. The method allows for real-time monitoring, predictive analysis, and health recommendations that take into account the user's situation. This makes it more accurate, reliable, private, and responsive than traditional health monitoring systems."
Disclaimer: Curated by HT Syndication.
