MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202521133804 A) filed by Mit Art, Design And Technology University, Pune, Maharashtra, on Dec. 30, 2025, for 'an edge-based intelligent ecg arrhythmia analysis system with adaptive deep learning and composite risk scoring.'
Inventor(s) include Dr. Gauri S. Bhagat; and Dr. Nitin S. More.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The present disclosure relates to an edge-based intelligent ECG arrhythmia analysis system with adaptive deep learning and composite risk scoring. The system (100) includes an ECG sensing device (102) having ECG electrodes (102a) and an analog front-end circuit (102b) configured to acquire, amplify, and digitize cardiac electrical signals. An edge computing unit (104), operatively coupled to the ECG sensing device (102), performs signal conditioning, including filtering, denoising, normalization, R-peak detection, and heartbeat segmentation. The edge computing unit (104) further extracts morphological and time-frequency features and applies a convolutional neural network and a long short-term memory network with an attention mechanism to identify arrhythmias and model temporal dependencies. Patient-specific model adaptation is enabled through fine-tuning or autoencoder-based recalibration. The system (100) aggregates arrhythmia probabilities into a composite arrhythmic burden score and stores results for clinician access and analysis."
Disclaimer: Curated by HT Syndication.
