MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043722 A) filed by Sr University, Warangal, Telangana, on April 6, for 'affective neurobehavioral intelligence framework for early parkinson's disease detection using multimodal deep learning.'
Inventor(s) include Dr. Ratnalata Gupta; Dr. Sandip Bhattacharya; Dr. Shraddha Jain Sharma; Dr. Mamta Anand; 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 relates to an affective neurobehavioral intelligence framework for early detection of Parkinson's disease using multimodal deep learning. The system collects and processes physiological, behavioral, and emotional biomarkers including EEG, ECG, HRV, speech, and gait data. A hybrid deep learning model combining CNN, LSTM, and attention-based multimodal fusion is employed for feature extraction and prediction. The framework computes a continuous risk score to identify Parkinson's disease at preclinical stages. An explainable AI interface provides interpretable outputs for clinical decision support. The invention is designed for deployment via wearable devices and IoT platforms, enabling remote monitoring and early intervention."
Disclaimer: Curated by HT Syndication.
