MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043390 A) filed by Sr University, Warangal, Telangana, on April 5, for 'an artificial intelligence-based neuro-fuzzy and multiwavelet system for efficient eeg artifact removal.'
Inventor(s) include Dr. B. Paulchamy; Dr. Sandip Bhattacharya; Mr. Abdul Hayum; Dr. A. Purushothaman; Mr. R. Karuppusamy; Dr. K. Mahedndrakan; and Dr. Sudip Bhattacharya.
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: "The present invention describes an Artificial Intelligence based Neuro-Fuzzy and Multi wavelet system for efficient removal of artifacts in electroencephalogram signals. The system integrates multi wavelet signal decomposition with a neuro-fuzzy inference mechanism to automatically detect and suppress artifacts caused by eye movements, muscle activity, electrode motion, and power line interference. The multi wavelet transform decomposes EEG signals into multiple frequency components, while the neuro-fuzzy system learns artifact patterns and generates adaptive rules for artifact classification. The detected artifact components are removed and the signal is reconstructed to produce a clean EEG signal suitable for clinical diagnosis and brain computer interface applications. The proposed system improves signal quality, enhances signal-to-noise ratio, and supports reliable EEG analysis in real time environments."
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