Intellectual Property India Publishes Patent Application for A Deep Learning-Based Automated Sleep Stage Classification System Using Cnn-Lstm Network For Eeg Signal Analysis

MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202641115566 A) filed by Vallurupalli Nageswara Rao Vignana Jyothi Institute Of Engineering And Technology on September 26, 2026, for A Deep Learning-Based Automated Sleep Stage Classification System Using Cnn-Lstm Network For Eeg Signal Analysis.

Inventor includes Mr. Bhupesh Deka.

The application for the patent was published on October 02, 2026, under issue no. 40/2026.

Abstract: ABSTRACT [0025] This project focused on the design, development, and evaluation of an automated system for sleep stage classification using EEG signals, leveraging a hybrid deep learning architecture combining Convolutional Neural Networks (CNN) and Long Short-Term Memory ...