Jason Farquhar
Papers
1
Total Citations
70
H-Index
1
About
Dr. Jason Farquhar is a leading researcher in the field of Brain-Computer Interfaces (BCIs), with a particular focus on decoding neural signals for motor rehabilitation. His work centers on the intersection of sensorimotor neurophysiology and assistive robotics, aiming to restore mobility in patients with neurological disorders such as stroke and spinal cord injury. His most-cited paper (70 citations) demonstrates a major contribution: successfully decoding sensorimotor rhythms during robotic-assisted treadmill walking. This breakthrough showed that brain activity related to walking can be reliably extracted in real-time, even when a patient is physically supported by a robotic exoskeleton—a critical step toward closed-loop BCI systems for gait rehabilitation. By integrating EEG-based neural decoding with robotic assistance, Farquhar’s research addresses a key challenge in neurorehabilitation: enabling patients to actively engage their motor cortex during therapy, which is known to promote neuroplasticity and functional recovery. His work has helped bridge the gap between fundamental BCI research and practical clinical applications, offering new hope for individuals with locomotor impairments.
Research Focus
Key Achievements
Top Papers
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