MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202531098153 A) filed by Guru Nanak Institute Of Technology, Kolkata, West Bengal, on Oct. 11, 2025, for 'multi-modal digital handwriting analysis system for early detection and monitoring of neurological disorders.'
Inventor(s) include Dipankar Basu; Dr. Abhrendu Bhattacharya; Dr. Suman Bhattacharya; and Dr. Mahamuda Sultana.
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: "A multi-modal digital handwriting analysis system for early detection and continuous monitoring of neurological disorders is disclosed. The system comprises a smart digital pen equipped with multi-sensor arrays including pressure sensors, accelerometers, gyroscopes, and position sensors, coupled with a high-resolution writing surface. Multi-modal data captured at sampling frequencies exceeding 1000 Hz is pre-processed using extended Kalman filtering and analyzed to extract over 200 neuromotor biomarkers. An artificial intelligence engine comprising convolutional neural networks, long short-term memory models, and transformer architectures performs multi-disorder classification, baseline comparison, and disease progression forecasting. The system enables pre-symptomatic detection of conditions such as Parkinson's disease and Alzheimer's disease up to two to three years before visible onset, achieves cost reductions exceeding 90% compared to neuroimaging, and integrates with electronic health record systems to provide real-time clinical decision support."
Disclaimer: Curated by HT Syndication.
