Information and Media Outreach Cell
IIT Kanpur
Brain-Computer Interface - based Robotic Hand Exoskeleton designed to revolutionize stroke rehabilitation
15 Jan, 2025 | IITK News
Prof. Ashish Dutta from IIT Kanpur's Department of Mechanical Engineering, with support from the Department of Science and Technology (DST), UK India Education and Research Initiative (UKIERI), and the Indian Council of Medical Research (ICMR), has developed a groundbreaking Brain-Computer Interface (BCI)-based Robotic Hand Exoskeleton designed to revolutionize stroke rehabilitation.
Developed after 15 years of rigorous research, this innovation aims to accelerate recovery and improve patient outcomes by integrating brain activity with therapeutic hand movements, creating a closed-loop control system. The BCI-based exoskeleton works by capturing EEG signals from the brain's motor cortex to gauge the patient’s intent to move. The robotic exoskeleton then performs corresponding hand movements, and software synchronizes these brain signals with the exoskeleton, providing real-time feedback. This synchronization continuously engages the brain during therapy, fostering enhanced recovery and activating brain plasticity, which is the brain's ability to reorganize itself and adapt after injury.
According to Prof. Ashish Dutta, the device provides renewed hope for stroke patients whose recovery has plateaued, especially by bridging the gap between physical therapy and brain engagement. This innovation is particularly beneficial for patients who have not seen improvement through traditional physiotherapy. The exoskeleton encourages hand movements, like opening or closing the fist, using both visual cues and brain signals, ensuring a harmonious approach to recovery.
Pilot clinical trials conducted in partnership with Regency Hospitals (India) and the University of Ulster (UK), have demonstrated impressive results, showing the transformative potential of the BCI-Based Hand Exoskeleton. Eight patients—4 in India and 4 in the UK—who had stagnated in their recovery for one to two years post-stroke, showed complete recovery after using this device. The device actively engages the brain during therapy, yielding faster and more comprehensive results than conventional rehabilitation techniques.
While stroke recovery is typically most effective within the first 6 to 12 months, this technology has shown potential to aid recovery even beyond that window. With further clinical trials underway, the exoskeleton is expected to be commercially available within 3 to 5 years, offering new hope for stroke patients worldwide.