MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641050595 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on April 21, for 'a system and method for real-time multi-modal patient monitoring and predictive health risk assessment.'
Inventor(s) include Meyyammai C. T; Jayannan J; Vasanthapriya J; Parimala K; Logeswari J; Soundarya Kasi; Parthasarathy R; Deepa Sundareswaran; Fabiola M Dhanraj; and Victor Devasirvadam.
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: "A System and Method for Real-Time Multi-Modal Patient Monitoring and Predictive Health Risk Assessment The current disclosure pertains to a system and method for real-time multi-modal patient monitoring and predictive health risk evaluation utilizing an adaptive, hardware-integrated architecture. The system has a multi-modal sensor array that collects physiological data, a signal conditioning unit, and a temporal alignment engine that makes sure that different data streams are in sync. A processor is set up to build and keep up to date a physiological digital twin model that shows the patient's real-time health status. The system also has an adaptive sensor reconfiguration module that changes the sensing parameters based on changes in physiology, and a predictive risk assessment unit that simulates future health conditions and finds possible risks. A context-aware filtering module improves predictions by using data about the environment and activities. An alert and notification unit, on the other hand, sends alerts ahead of time. The system uses edge computing to make sure that processing happens quickly and securely stores data with integrity checks, which makes it possible to monitor patients accurately, reliably, and ahead of time."
Disclaimer: Curated by HT Syndication.
