MUMBAI, India, July 11 -- Intellectual Property India has published a patent application (202511060825 A) filed by Kiet Group Of Institutions, Ghaziabad, Uttar Pradesh, on June 25, for 'proactive multi-modal emergency prediction system (pmeps).'
Inventor(s) include Ameer Faisal; Dr. Neeraj Kumar Gupta; and Dr. Yaduvir Singh.
The application for the patent was published on July 11, under issue no. 28/2025.
According to the abstract released by the Intellectual Property India: "The Proactive Multi-Modal Emergency Prediction System (PMEPS) is an advanced wearable device designed for real-time health monitoring and proactive emergency prediction. Utilizing multi-modal sensors, including accelerometers, heart rate monitors, blood flow analysers, and environmental detectors, PMEPS uses deep learning algorithms to identify early signs of medical emergencies such as falls, seizures, or cardiac events. The system integrates an adaptive energy management module, employing reinforcement learning for efficient energy harvesting and consumption, extending battery life. To preserve privacy, PMEPS utilizes federated learning, ensuring secure model training without sharing raw user data. An explainable AI (XAI) interface provides interpretable insights for clinicians and caregivers, enhancing emergency response strategies. The system's IoT integration enables automated interventions, such as medication dispensing or environmental adjustments. PMEPS represents a shift from reactive to proactive emergency management, with applications in elderly care, telehealth, and remote patient monitoring."
Disclaimer: Curated by HT Syndication.
