MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202611040509 A) filed by Galgotias University on March 31, 2026, for A System And Method For Functional Electrode Interrelationship Modeling In Eeg Data For Medical Diagnosis And Monitoring.
Inventors include Dr. Sonu Kumar Jha; Dr. Sheelesh Sharma; Krishna Kumar; Brajabehari Pal; Mozammil Imteyaz; and Abhishek Vishwakarma.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: The present invention discloses a system and method for analyzing electroencephalogram (EEG) data by modeling functional relationships between electrodes. The system dynamically computes inter-electrode dependencies using multiple metrics and represents brain activity as a graph structure to enable network-level analysis. The invention integrates preprocessing, graph-based modeling, feature extraction, and machine learning techniques to generate clinically interpretable insights for medical diagnosis and monitoring. The system supports applications including mental health assessment, neurological disorder detection, and real-time clinical monitoring. The proposed approach improves diagnostic accuracy, robustness, and interpretability over conventional EEG analysis methods.
Disclaimer: Curated by HT Syndication.
