Institute:
IIT Kanpuri
PI Name:
Prof. Ashish Dutta
Technology Readiness Level (TRL)
5-6
Stroke is a leading cause of disability worldwide, with
rising cases in India due to increased life expectancy. It
often impairs motor functions, affecting quality of life.
A BCI-controlled robotic hand and arm exoskeleton
can aid post-stroke rehabilitation by combining
mental imagery (Ml) with physical practice (PP). This
integration stimulates brain plasticity and enhances
motor recovery. The BCI detects the patient’s intent
and activates the exoskeleton, reducing the need for
constant physiotherapist supervision and encouraging
functional independence.
EEG Integration: Yes (non-invasive cap-based EEG) |
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EMG Sensor Placement: Both hands (for muscle activity monitoring) |
IMU: For motion tracking and calibration |
Exoskeleton Type: Hand and arm, modular and robotic |
System Interface: Laptop-based control with real time feedback |
Clinical Validation: Completed with approval from Apollo Hospitals |
MZ-122, IIT Delhi, Hauz Khas, New Delhi-110016 India
IHFC, Block – A, Research & Innovation Park, IIT Delhi, Hauz Khas, New Delhi – 110016
07AAFCI6629H1ZE
Designed & Developed by eClerx
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