MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641050599 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on April 21, for 'a system and method for early disease detection using ai-based analysis of physiological signals.'
Inventor(s) include Punitha VC; Ganesh Kumar D; Victor Devasirvadham; Poongodi V; Koushik Kumar N; Rajasekhar KK; Johnsi Inbakumari; Kavitha M; Mahesh Kumar PG; and Aarthi A.
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 Early Disease Detection Using AI-Based Analysis of Physiological Signals The current disclosure pertains to a system and method for facilitating early disease detection through self-calibrating multi-modal physiological signal analysis. The system has a lot of physiological sensors that can pick up different types of signals, such as heart rate, breathing, oxygen saturation, temperature, and motion data. It also has a processing unit that can filter, normalize, and remove artifacts from the signals it gets. A self-calibrating baseline generation unit creates a personalized physiological reference that changes over time and corrects for drift. A multi-modal correlation engine finds connections between signals to find hidden problems, and a predictive analytics unit finds signs of disease that could happen early. A diagnostic validation unit checks the detected indicators against physiological plausibility constraints and signal consistency rules. This cuts down on false detections. The system also has a sensor trust scoring module for dynamic signal weighting and an edge computing unit for processing in real time. The system sends out alerts when it finds an anomaly that has been confirmed."
Disclaimer: Curated by HT Syndication.
