Intellectual Property India Publishes Patent Application for 'A Method, Wearable Device, And System For Autonomous Multi-Modal Biomedical Analytics-Based Cardiac Monitoring, Digital Twin-Driven Predictive Intervention, And Adaptive Clinical Alert Escalation' Filed by Meenakshi Academy Of Higher Education And Research

MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043516 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on April 6, for 'a method, wearable device, and system for autonomous multi-modal biomedical analytics-based cardiac monitoring, digital twin-driven predictive intervention, and adaptive clinical alert escalation.'

Inventor(s) include Nikita Ravi; Jayannan J; Premkumar U; Fabiola M Dhanraj; Sunitha Devi M; Menmozhi T; Leka H; Uma A; Aarthi A; and Badri K.

The application for the patent was published on April 17, under issue no. 16/2026.

According to the abstract released by the Intellectual Property India: "A Method, Wearable Device, and System for Autonomous Multi-Modal Biomedical Analytics-Based Cardiac Monitoring, Digital Twin-Driven Predictive Intervention, and Adaptive Clinical Alert Escalation The present invention relates to an intelligent autonomous patient monitoring and clinical intervention optimization system, method, and wearable device using real-time multi-modal biomedical analytics. The system comprises a wearable device integrated with hybrid biosensors configured to continuously acquire physiological, behavioral, and contextual data including ECG, PPG, heart rate, blood pressure, oxygen saturation, and activity parameters. A processor, in conjunction with an artificial intelligence and machine learning unit, performs preprocessing, feature extraction, and cross-modal analysis to classify physiological states and detect cardiac arrhythmias. The system further incorporates a patient-specific digital twin model configured to simulate physiological conditions and predict clinical risks. A closed-loop intervention orchestration mechanism generates severity-adaptive alerts and personalized recommendations, including emergency escalation for critical conditions. The system enables secure transmission of annotated biomedical data and predictive insights to healthcare providers, thereby facilitating real-time triage, improving diagnostic accuracy, reducing false alarms, and enabling proactive and personalized healthcare management."

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