MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202641018213 A) filed by Moodlakatte Institute Of Technology, Kundapura, Karnataka, on Feb. 18, for 'system for non-invasive physiological monitoring and health assessment.'
Inventor(s) include Indra Vijay Singh; K Sarjan; K Dileep; and Nirmal Nigam.
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: "System for non-invasive physiological monitoring and health assessment The present invention discloses a system and method for non-invasive physiological monitoring and health assessment, wherein the physiological condition assessment system uniquely combines quantum resonance biosensing with quantum machine learning (QML) for adaptive, non-invasive classification of physiological states. The system non-invasively acquires physiological data through electromagnetic resonance interactions with biological tissues, encodes resonance signals including frequency, phase, and amplitude into quantum states, and employs quantum machine learning-based classification using adaptive quantum circuits or variational quantum classifiers to learn complex physiological patterns beyond classical limitations. The system enables personalized adaptive learning by dynamically adjusting classification models based on individual physiological variability and longitudinal data, facilitating real-time physiological condition assessment for preventive alerts and continuous monitoring."
Disclaimer: Curated by HT Syndication.
