MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641049666 A) filed by Anurag University, Hyderabad, Telangana, on April 18, for 'a system for iot-integrated ml/dl-based stress and neuro-psychological disorder detection for early alzheimer's prediction in humans.'
Inventor(s) include Dr. Vijayakumar Yelsani; Dr. M. Srinivasa Reddy; and Dr. M. Venkata Ramana.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an IoT-integrated artificial intelligence system for early detection of stress and neuro-psychological disorders, including Alzheimer's disease in humans (100). The system comprises an IoT sensor module (104) configured to continuously acquire multimodal physiological and behavioral data such as EEG, ECG, HRV, and GSR (102) from a human subject. An edge processing unit performs preprocessing including signal conditioning, noise removal, and feature extraction. A communication module securely transmits the processed data to a cloud processing unit (106) for storage and analysis. A machine learning (108) and deep learning module analyzes the data using CNN, RNN, and attention mechanisms to detect stress patterns and cognitive abnormalities. A strong artificial intelligence (110) inference engine performs adaptive learning, cognitive reasoning, and personalized risk prediction for early Alzheimer's detection. The system further includes a healthcare dashboard and an alert system (114) for real-time monitoring and notification of abnormal conditions, enabling continuous and predictive healthcare."
Disclaimer: Curated by HT Syndication.
