Colin Losey

Interface (United States), Rice University

Papers

3

Total Citations

93

H-Index

3

About

Colin Losey is a leading researcher in neural rehabilitation engineering, specializing in brain-machine interfaces (BMI) and robotic exoskeletons for post-stroke motor recovery. His work centers on decoding neural intent from scalp EEG to drive robotic therapy, aiming to restore upper-limb function in chronic stroke survivors. In his most cited work (70 citations), Losey demonstrated that BMI-enabled robotic training can modulate cortical activity and promote motor recovery, providing critical evidence for the clinical potential of closed-loop neurorehabilitation. His preliminary clinical trial results (19 citations) further validated this approach by showing that incorporating neural intent detection into the MAHI-Exo II exoskeleton enhances rehabilitation outcomes for elbow flexion and extension. Losey’s research bridges neuroscience, robotics, and clinical practice, offering a transformative pathway for stroke survivors with limited recovery options. His contributions are shaping the next generation of adaptive, patient-driven rehabilitation technologies, with implications for both motor recovery and cortical plasticity.

Research Focus

Key Achievements

3
H-Index
3
Papers
93
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
Neural activity modulations and motor recovery following brain-exoskeleton interface mediated stroke rehabilitation
70 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Interface (United States), Rice University

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago