MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043286 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on April 4, for 'a system and method for wearable-based health monitoring and condition assessment.'
Inventor(s) include Sindhu Subramani; Indhu C; Suvarna P; Dhanalakshmi S; Ramnath V; Vasanthapriya J; Anitha J; Parthasarathy R; Manikandan R; and Subbulakshmi 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: "The present disclosure relates to a system and method for conducting wearable-based adaptive multimodal health monitoring and predictive condition evaluation. The system has one or more multimodal sensors that collect physiological, behavioral, and environmental data about a user. It also has a processor that uses a multimodal bio-signal fusion core to preprocess and combine the data it collects. The processor also uses a neuromorphic health reasoning engine to look at spatiotemporal patterns and give real-time health information. To find changes that could be signs of health problems, a predictive anomaly signature engine is used. The system also has an adaptive digital twin model for personalized health simulation and a federated learning framework for decentralized model improvement that keeps data private. Also, a secure data logging system makes sure that the data is correct, and an energy harvesting unit lets the system run all the time. The invention offers a solution for real-time predictive healthcare monitoring that is efficient, scalable, and keeps privacy."
Disclaimer: Curated by HT Syndication.
