MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641076464 A) filed by Sr University on June 20, 2026, for An Ai-Driven System For Cardiovascular Risk Evaluation Using High-Fidelity Ecg Signal Processing And Feature Extraction.
Inventors include D Siva Raja Kumar; and Balajee Maram.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: AN AI-DRIVEN SYSTEM FOR CARDIOVASCULAR RISK EVALUATION USING HIGH-FIDELITY ECG SIGNAL PROCESSING AND FEATURE EXTRACTION The present invention discloses an AI-driven system for cardiovascular risk evaluation using high-fidelity electrocardiogram (ECG) signal processing and intelligent feature extraction. The system acquires high- resolution ECG signals and applies advanced preprocessing techniques to enhance signal quality. Clinically relevant features are automatically extracted and analyzed using machine learning models to generate individualized cardiovascular risk indicators. The framework supports real-time analysis, continuous learning, and deployment in clinical, wearable, and remote monitoring environments. By enabling predictive and proactive cardiovascular risk assessment, the invention reduces diagnostic delay, improves accuracy, and supports early intervention. The system is scalable, adaptive, and suitable for integration with cloud platforms and telemedicine infrastructures, thereby enhancing accessibility to cardiovascular care.
Disclaimer: Curated by HT Syndication.
