BRAIN-COMPUTER INTERFACE-BASED ROBOTIC SYSTEM FOR STROKE REHABILITATION
Kai Keng Ang
Institute for Infocomm Research, A*STAR, Singapore; Nanyang Technological University, Singapore
Recent advances in analysis of brain signals and improvements in computing capabilities have enabled people with motor disabilities to use their brain signals for communication and control without using their impaired neuromuscular system. This technology called Brain-Computer Interface (BCI) is useful to stroke survivors by providing them with an alternative means of stroke rehabilitation through motor imagery, the mental process of imagination of movements without physical movement. By integrating BCI with robotic systems, concomitant motor imagery and physical practice can be performed during stroke rehabilitation. This talk gives an introduction on BCI, and presents the BCI-based robotic systems projects developed jointly by the Institute for Infocomm Research A*STAR and Tan Tock Seng Hospital in Singapore. Finally, the results from 3 of the clinical trials conducted using BCIbased stroke rehabilitation in Tan Tock Seng Hospital and National University Hospital in Singapore from 2007 to 2014 will also be presented.