Intellectual Property India Publishes Patent Application for 'Brain-Controlled Exoskeleton For Muscular Dystrophy' Filed by Aditya Pradeep Gambhire; Dr. Shriniwas Sidramappa Metan; Ritesh Prashant Kulkarni; Trisha Sainath Adki; Sidramappa Bhagwan Potdar; and Vitteshkumar Dattatray Gaikwad

MUMBAI, India, Nov. 21 -- Intellectual Property India has published a patent application (202521105804 A) filed by Aditya Pradeep Gambhire; Dr. Shriniwas Sidramappa Metan; Ritesh Prashant Kulkarni; Trisha Sainath Adki; Sidramappa Bhagwan Potdar; and Vitteshkumar Dattatray Gaikwad, Majarewadi, Maharashtra, on Nov. 1, for 'brain-controlled exoskeleton for muscular dystrophy.'

Inventor(s) include Aditya Pradeep Gambhire; Dr. Shriniwas Sidramappa Metan; Ritesh Prashant Kulkarni; Trisha Sainath Adki; Sidramappa Bhagwan Potdar; and Vitteshkumar Dattatray Gaikwad.

The application for the patent was published on Nov. 21, under issue no. 47/2025.

According to the abstract released by the Intellectual Property India: "The present invention discloses a brain-controlled exoskeleton system designed to assist individuals suffering from Muscular Dystrophy (MD) and related neuromuscular disorders in regaining motor control and functional mobility. The system utilizes the Neuro Playground Lite brain-computer interface (BCI) to acquire and process electroencephalographic (EEG) signals corresponding to the user's motor intentions. These neural signals are filtered, classified, and converted into control commands through machine learning algorithms embedded within a microcontroller-based processing unit. The interpreted commands are transmitted to servo or linear actuators integrated within a lightweight, modular, and ergonomic exoskeleton frame that supports and mobilizes the user's limbs in real time. The invention incorporates adaptive feedback loops using torque and position sensors to synchronize movement precision, while safety mechanisms prevent overextension and user strain. The exoskeleton structure is composed of durable, lightweight materials such as aluminum alloy or carbon fiber composites to ensure comfort and extended usability. The system provides a non-invasive, low-cost, and intelligent mobility aid that combines neural decoding, real-time actuation, and adaptive learning to translate thought into motion. This invention offers a practical rehabilitation and assistance solution for patients with progressive muscular weakness, promoting independence, neuroplasticity, and improved quality of life."

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