Christopher Barr
Papers
2
Total Citations
19
H-Index
2
About
Christopher Barr is a rehabilitation scientist whose research focuses on advancing locomotor therapy for individuals with subacute stroke, with a particular emphasis on integrating robotic gait training and cardiovascular exercise. His most cited work, "Augmented Performance Feedback during Robotic Gait Therapy Results in Moderate Intensity Cardiovascular Exercise in Subacute Stroke" (2020, 17 citations), demonstrates a key contribution: showing that robotic gait therapy, when augmented with performance feedback, can safely achieve moderate-intensity cardiovascular exercise in stroke survivors—a critical finding for combining motor recovery with cardiorespiratory fitness. This work bridges the gap between neurorehabilitation and exercise physiology, offering practical insights for clinical protocols. Barr also contributed to "Towards a Clinical Decision-Making Algorithm Guiding Locomotor Therapy Modality in Subacute Stroke: An Exploratory Study" (2021, 2 citations), which proposes a framework to help clinicians choose between different gait training modalities based on patient-specific factors. His research is notable for its translational focus, aiming to optimize rehabilitation outcomes through evidence-based, patient-centered approaches. Barr’s work is particularly valuable for students and clinicians seeking to understand how technology and feedback can enhance post-stroke recovery.
Research Focus
Key Achievements
Top Papers
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