Papers

11

Total Citations

224

H-Index

8

About

Chad Swank is a leading researcher in neurorehabilitation, specializing in the clinical integration of robotic exoskeletons for gait training. His work focuses on translating cutting-edge technology into practical, evidence-based rehabilitation protocols for individuals with neurological conditions, particularly spinal cord injury (SCI) and stroke. Dr. Swank’s major contributions include demonstrating the feasibility and clinical utility of overground robotic exoskeleton gait training during inpatient rehabilitation, with his most cited work (77 citations) establishing foundational implementation guidelines. He has critically advanced the field by revealing that robotic exoskeleton walking does not mimic natural gait (39 citations), informing realistic therapeutic expectations and device optimization. His research portfolio encompasses feasibility studies, retrospective analyses, and rigorous randomized controlled trials, including the FIRST trial protocol. With over 200 total citations, Dr. Swank has shaped clinical practice by identifying patient characteristics associated with successful robotic gait training and documenting kinematic and muscle activity changes post-intervention. His recent work extends to soft robotic exoskeletons for upper extremity assistance, showcasing his commitment to expanding rehabilitation technology applications. Dr. Swank’s pragmatic, patient-centered approach bridges the gap between engineering innovation and clinical reality, making him a pivotal figure in modern neurorehabilitation.

Research Focus

Key Achievements

8
H-Index
11
Papers
224
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Feasibility of integrating robotic exoskeleton gait training in inpatient rehabilitation
77 citations · 2019
📈 Most Prolific Year: 2020 (3 Papers)
🤝 Key Collaborators: 34
🏛 Institutions: Baylor Medical Center at Garland, Texas Woman's University, GTx (United States), Baylor Scott & White Health

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago