MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641074374 A) filed by Sr University on June 16, 2026, for Ai-Driven Multi-Modal Biomedical Signal Analysis System For Early Disease Prediction.
Inventors include Dr Charulatha G; and Dr Balajee Maram.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The present invention relates to the development of an AI-driven multi-modal biomedical signal analysis system for early disease prediction, which enhances the precision of disease prediction by integrating various types of physiological signals. The system collects and analyzes different types of biomedical signals, including electrocardiograms (ECGs), electroencephalograms (EEGs), electromyograms (EMGs), and photo plethysmographs (PPGs). Using sophisticated artificial intelligence and machine learning techniques, the system preprocesses the biomedical signals, extracts features, detects anomalies, and identifies potential symptoms of cardiovascular, nervous system, respiratory, and metabolic diseases at an early stage. A multi-modal data fusion engine processes various types of data collected using sensors in order to obtain comprehensive health predictions and risk scores. FIG.1
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