Papers
9
Total Citations
138
H-Index
7
About
Jeffrey Skidmore is a biomedical researcher whose work sits at the intersection of sensorimotor neuroscience, human locomotion, and rehabilitation robotics. His research has made significant contributions to understanding how the central nervous system integrates visual and proprioceptive feedback to coordinate gait, with a particular focus on inter-limb coupling mechanisms — the neural pathways through which one leg's sensory experience influences the other's motor response. Skidmore's most influential contribution is the development and application of the Variable Stiffness Treadmill, a novel device that delivers unilateral walking surface perturbations to systematically probe contralateral leg muscle responses and brain activity. This paradigm, documented across his most-cited works — including a 2015 paper garnering 39 citations and studies on bilateral coordination accumulating tens of additional citations — has provided foundational physiological insights that challenge conventional approaches to robot-assisted gait therapy. A consistent thread throughout his portfolio is the argument that robotic rehabilitation devices have yielded only moderate clinical results because they neglect the bilaterally coupled nature of walking. His research proposes harnessing inter-limb coordination mechanisms to design more neurologically informed robotic interventions, with demonstrated applications in stroke survivors experiencing hemiparesis. His work offers a compelling bridge between fundamental locomotion science and translational rehabilitation engineering.
Research Focus
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