MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043101 A) filed by Sr University, Warangal, Telangana, on April 4, for 'scalable machine learning techniques for epileptic seizure recognition using big data eeg analytics.'
Inventor(s) include Dr. Awakash Mishra; Dr. Sandip Bhattacharya; and Dr. Bharat Bhushan.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "This invention presents a scalable machine learning framework for epileptic seizure recognition using Big Data EEG analytics. The system integrates advanced data preprocessing, feature extraction, and dimensionality reduction techniques, including PCA, KPCA, and LDA, to transform complex EEG data into meaningful representations. Machine learning classifiers such as Support Vector Machines are employed to detect seizure patterns with high accuracy and reduced computational overhead. The framework supports large-scale data processing using distributed architectures, enabling efficient analysis of structured and unstructured EEG datasets. Additionally, the invention highlights the correlation between epileptic seizures and brain tumor progression, allowing for early-stage diagnosis. This solution enhances clinical decision-making by providing reliable predictions and actionable insights for improved neurological disorder management."
Disclaimer: Curated by HT Syndication.
