Papers
3
Total Citations
73
H-Index
3
About
Ryan J. Downey is a biomedical engineer whose research lies at the intersection of neural engineering, rehabilitation robotics, and surgical innovation. His most impactful work addresses the critical challenge of motion artifact removal in mobile electroencephalography (EEG). As lead author of a highly cited 2020 study (51 citations), Downey developed a novel validation method using an electrical head phantom and robotic motion platform to recover ground-truth brain signals from noisy EEG recordings during locomotion—a fundamental step toward reliable brain-computer interfaces in real-world settings. He has also advanced functional electrical stimulation (FES) for stroke rehabilitation, creating a closed-loop algorithm that automatically adjusts cycling assistance to accommodate varying levels of impairment (2019, 16 citations), enabling more personalized therapy. Demonstrating remarkable breadth, Downey contributed to robotic-assisted retroperitoneal lymph node dissection for testicular cancer (2022, 6 citations), evaluating perioperative and early oncological outcomes. His work bridges engineering and clinical application, with key contributions in signal processing, neurorehabilitation, and surgical robotics. Downey’s research is essential reading for those working at the frontier of wearable neurotechnology and assistive devices.
Research Focus
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Top Papers
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