MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641068899 A) filed by Satavahana University on June 02, 2026, for Ai-Enabled Ecg Signal Processing System For Cardiac Abnormality Detection.
Inventors include Guguloth Rajender Naik; and Ashoka Reddy Komalla.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: The present invention relates to an Artificial Intelligence (AI)-enabled electrocardiogram (ECG) signal processing system and method for automated detection and classification of cardiac abnormalities. The system comprises an ECG acquisition subsystem configured to acquire physiological cardiac signals, an adaptive filtering subsystem configured to suppress baseline wander, electromyographic interference, powerline noise, motion artifacts, and environmental disturbances, an integrated peak analyser configured to identify ECG waveform components including P-wave, Q-wave, R-wave, S-wave, T-wave, PR interval, QT interval, ST segment, and RR interval, a feature engineering subsystem configured to generate multidimensional diagnostic descriptors, an intensity-weighted feature optimization subsystem configured to eliminate redundant features and select diagnostically significant features, and a multimodal decision learning subsystem configured to perform rhythm analysis, morphology analysis, statistical analysis, spectral analysis, and physiological variability analysis for cardiac abnormality classification. The invention provides improved ECG signal quality, enhanced diagnostic accuracy, reduced computational complexity, reduced feature redundancy, and reliable real-time detection of cardiac abnormalities. The invention is applicable to wearable cardiac monitoring devices, hospital diagnostic systems, telemedicine platforms, cloud-based healthcare infrastructures, and remote patient monitoring environments. Fig. 1
Disclaimer: Curated by HT Syndication.
