MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641050656 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on April 21, for 'a system and method for non-invasive health monitoring using ai-based signal processing.'
Inventor(s) include Suvarna P; Shanma E; Sivayogana R; Kavitha M; Durga B; Prasanna Kumar E; Sugasri Sureshkumar; Divya S; Manikandan R; and Subbulakshmi V.
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: "The current disclosure pertains to a system and method facilitating non-invasive health monitoring through adaptive multi-layer signal fusion and edge-based intelligent processing. The system has a multi-modal sensor array that picks up physiological signals, a signal conditioning unit that does preprocessing, and a processor that does adaptive artifact cancellation based on motion inputs. The processor also runs a hierarchical multi-layer signal fusion process that includes signal normalization, cross-sensor correlation, and validation of physiological plausibility to make composite signals that can be trusted. A physiological digital twin calibration module makes and updates a personalized baseline model. A deterministic health state engine then uses deviation analysis to figure out real-time health conditions. The system also has a way for sensors to check themselves, a dynamic sampling controller that is aware of energy use, and a module for secure data integrity. The system that was revealed makes it possible to monitor health in real time, accurately, and without having to touch the person. It also works better, is more reliable, and doesn't need as much help from outside systems."
Disclaimer: Curated by HT Syndication.
