MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641050598 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on April 21, for 'a system and method for remote patient monitoring using wearable sensors and machine learning.'
Inventor(s) include Punitha VC; Shanmuga Priyan; Mohana Thiruchenduran; Prassanna Kumar E; Sridevi Sangeetha K S; Karpagavalli; Vasanthapriya J; Jayabharathi B; Srilekha S; and Badri K.
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 pertains to a system and method for facilitating context-aware remote patient monitoring through the utilization of wearable sensors, incorporating physiological digital twin modeling and adaptive edge intelligence. The system has a wearable sensor unit that collects multi-modal physiological and activity-related data, a sensor fusion and preprocessing unit that prepares the signals, and an edge processing unit that does real-time analytics and adaptive baseline computation. A physiological digital twin engine is set up to make and keep up to date a model of a patient that simulates how their body should behave and finds differences by comparing it to real-time data. A context awareness module improves anomaly detection by adding environmental and behavioral factors. A hierarchical alert engine checks for anomalies through multi-stage analysis to cut down on false alarms. The system also supports secure data communication, energy-efficient operation, and reliable monitoring in areas with poor connectivity. This makes it a predictive, personalized, and technically advanced way to monitor patients from afar."
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