MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202611024962 A) filed by Thapar Institute Of Engineering & Technology, Patiala, Punjab, on March 3, for 'adaptive rehabilitation system with vibrotactile stimulation and ai-driven emg feedback analysis and related methods.'
Inventor(s) include Arjita Sharma; and Ashish Purohit.
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: "An apparatus and system for closed-loop adaptive rehabilitation are disclosed, featuring a processor and a sensory stimulation glove. The processor executes a machine learning model to combine targeted vibrotactile stimulation with electromyography (EMG) feedback analysis, interprets EMG features, classifies a muscle's physiological state, and adjusts stimulation intensity and frequency. The sensory stimulation glove, equipped with vibrotactile stimulators and EMG sensors, provides non-invasive sensory stimulation and delivers real-time adaptive vibrotactile stimulation. The processor enables personalized adaptation and proactive detection, transforming the glove into a responsive therapeutic platform for individualized recovery trajectories. The glove offers customized sensory stimulation to achieve motor response and promote neuroplasticity, enhancing rehabilitation outcomes."
Disclaimer: Curated by HT Syndication.
