MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641050659 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on April 21, for 'a system and method for rehabilitation monitoring using motion sensors and machine learning-based assessment.'
Inventor(s) include Sugasri Sureshkumar; Kasthuri K; Melba Jesurani A; Uma S; Ram Shankar; Srimathi N; Thephilah Cathrine R; Nishaa Bharathi M; Miraculine Devadarshini P; and Annadurai A.
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 current disclosure pertains to a system and method for rehabilitation monitoring that employs multi-layer motion sensing, digital twin-based biomechanical modeling, and adaptive therapy validation with hardware-integrated feedback control. The system consists of a wearable sensor unit that can record motion, muscle activity, and pressure data; a preprocessing module; and a processor that can combine the data from all of the sensors and use dynamic confidence scoring to create a single motion profile. A digital twin modeling engine makes expected motion paths for each patient. These paths are then compared to real-time data to find any differences and compensatory movements. A therapy validation module checks to make sure that rehabilitation exercises are correct, and an adaptive feedback and actuation module changes rehabilitation devices on the fly to fix movement mistakes. A predictive risk assessment module finds risks of fatigue and injury, and an edge processing unit makes it possible to work in real time. The system also has secure data storage and audit features, making it a closed-loop rehabilitation monitoring and correction solution that is efficient, reliable, and safe."
Disclaimer: Curated by HT Syndication.
