MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641043531 A) filed by Hindusthan College Of Engineering And Technology, Coimbatore, Tamil Nadu, on April 6, for 'eeg signal denoising using cnn adaptiva lms filter.'
Inventor(s) include Dr. N. J. R. Muniraj; Dr. J. Ramya; K. Sivaranjani; R. Ragavi; P. Rajathi; and V. S. Vishnu Kanishka.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "These are used in munilUJ ing l.Jraiu i!Cti v ity, diagno3i3, und rcGourch .TheGe electroencephalogram signals tend to be noisy due to eye movements, muscle movements, and electrical interference. This makes it difficult to obtain accurate information from the electroencephalogram signals. This invention aims at developing a chip-based system that can filter noise from electroencephalogram signals. It uses an intelligence system referred to as Convolutional Neural Network and Least Mean Square adaptive filter. The part of the system referred to as artificial intelligence ex 1mmes the electroencephalogram signal and identifies the patterns that are regarded as noise. The filter then adapts itself in an attempt to eliminate the identified noise. The invention process involved developing a system for designing computer chips. This includes simulating how the system works,optimizing the system, and developing the system's layout. The simulation of the system indicates that it works correctly: The optimization and chip layout are steps taken in preparation for the system being designed as a chip. This invention helps in improving the clarity of electroencephalogram signals. It uses computer hardware in an effective way, thus making it applicable in developing real-time health monitoring systems. The system can be used in improving the clarity of electroencephalogram signals."
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