MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641070271 A) filed by Veeresh Biradar; Gururaj Nase; Badipati Srinivasa Rao; Aditi Bhardwaj; S. Sree Vidhya; Sonali Das; Jigyanshu Kumar; Dr. Sureshkumar S; Mr. S. M. Balaji; Dr. Mumthaz Tmv; Mrs. S. Subha; and Dr. Arun Ramchandra Dhang on June 05, 2026, for Artificial Intelligence-Based Early Cardiac Arrest Detection And Alert System Using Ecg Signals.
Inventors include Veeresh Biradar; Gururaj Nase; Badipati Srinivasa Rao; Aditi Bhardwaj; S. Sree Vidhya; Sonali Das; Jigyanshu Kumar; Dr. Sureshkumar S; Mr. S. M. Balaji; Dr. Mumthaz Tmv; Mrs. S. Subha; and Dr. Arun Ramchandra Dhang.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: Artificial Intelligence-Based Early Cardiac Arrest Detection and Alert System Using ECG Signals is the proposed invention. The proposed invention is an an Artificial Intelligence-based Early Cardiac Arrest Detection and Alert System using ECG signals for real-time monitoring and prediction of critical cardiac abnormalities. The system employs a Long Short-Term Memory deep learning algorithm to analyze sequential ECG waveforms and identify abnormal cardiac patterns associated with impending cardiac arrest conditions. ECG signals collected from wearable or bedside sensors are preprocessed to remove noise and artifacts before being supplied to the LSTM predictive engine. The trained model continuously evaluates temporal heartbeat variations and generates early warnings when high-risk cardiac conditions are detected. Upon abnormality detection, the system automatically transmits emergency alerts and patient information to healthcare providers and caregivers through IoT- enabled communication networks. The proposed invention improves prediction accuracy, minimizes false alarms, supports remote cardiac monitoring, and enables rapid medical intervention for enhanced patient safety and preventive healthcare management.
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