MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202611053238 A) filed by Poornima University; Dr. Shikha Khullar; Mr. Rajkumar Sharma; and Mr. Vikash Kumar, Jaipur, Rajasthan, on April 27, for 'ai-enabled home monitoring system for continuous and non-invasive monitoring of parkinson's disease patients.'
Inventor(s) include Dr. Shikha Khullar; Mr. Rajkumar Sharma; and Mr. Vikash Kumar.
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: "The present invention discloses a system for continuous and non-invasive monitoring of Parkinson's disease patients using an integrated sensing and multi-processor analytical architecture. The system comprises a sensing unit configured to capture motion data, a data acquisition unit for converting the captured data into structured digital representations, and a preprocessing processor for generating feature vectors representing spatial and temporal characteristics of movement. A plurality of processing units perform parallel analysis, including graph-based spatial evaluation, temporal sequence analysis, and anomaly detection based on deviation from baseline patterns. A correlation processor aggregates outputs using weighted decision logic to generate high-confidence symptom detection signals while reducing false positives. The system further incorporates an adaptive learning unit configured to refine detection performance through iterative updates."
Disclaimer: Curated by HT Syndication.
