Intellectual Property India Publishes Patent Application for 'An AI-Based Wearable-Assisted System For Early Prediction And Personalized Prevention Of Cardiac Events Using Multi-Modal Physiological Signals' Filed by B V Raju Institute Of Technology; Jyothirmai D; R. Pitchai; Akshitha Kamuganti; Dinesh Naidu Gorle; Achyut Eragadinla; and Keerthi Priya Gundu

MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202641025543 A) filed by B V Raju Institute Of Technology; Jyothirmai D; R. Pitchai; Akshitha Kamuganti; Dinesh Naidu Gorle; Achyut Eragadinla; and Keerthi Priya Gundu, Narsapur, Telangana, on March 4, for 'an ai-based wearable-assisted system for early prediction and personalized prevention of cardiac events using multi-modal physiological signals.'

Inventor(s) include B V Raju Institute Technology; Jyothirmai D; R. Pitchai; Akshitha Kamuganti; Dinesh Naidu Gorle; Achyut Eragadinla; and Keerthi Priya Gundu.

The application for the patent was published on March 13, under issue no. 11/2026.

According to the abstract released by the Intellectual Property India: "The present invention relates to an AI-based wearable-assisted system for early prediction and personalized prevention of cardiac events. The system continuously collects multi-modal physiological signals through wearable sensors and analyzes the data using adaptive machine learning models to learn individual baseline health patterns. Personalized cardiac risk scores and real-time preventive alerts are generated to enable early intervention and remote healthcare support. The invention supports proactive healthcare management and is suitable for preventive cardiology and digital health applications."

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