About

Shuo-Hsiu Chang is a prominent rehabilitation researcher whose work sits at the intersection of robotic exoskeleton technology, locomotor training, and spinal cord injury (SCI) recovery. Best known for pioneering clinical investigations into wearable robotic systems, Chang has significantly advanced our understanding of how exoskeleton-assisted gait training can restore functional mobility in individuals with incomplete spinal cord injury. His landmark randomized controlled trial, the WISE study (2022, 73 citations), demonstrated that a 12-week exoskeleton training regimen produced clinically meaningful improvements in gait speed among chronic SCI patients—a landmark finding for the field. Alongside clinical efficacy, Chang has addressed the practical dimensions of exoskeleton integration, including clinician experiences across multiple SCI Model Systems centers (2018, 70 citations), user satisfaction outcomes, and critically, economic considerations such as budget impact analyses (2020, 42 citations) and cost-effectiveness comparisons (2023). His interdisciplinary reach extends to myoelectric control and neuromusculoskeletal modeling, as well as exoskeleton applications in multiple sclerosis populations. With over 340 cumulative citations, Chang's body of work has meaningfully shaped the evidence base guiding robotic rehabilitation policy and clinical practice worldwide.

Research Focus

Key Achievements

9
H-Index
14
Papers
364
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Walking improvement in chronic incomplete spinal cord injury with exoskeleton robotic training (WISE): a randomized controlled trial
73 citations · 2022
📈 Most Prolific Year: 2018 (3 Papers)
🤝 Key Collaborators: 55
🏛 Institutions: Memorial Hermann Institute for Rehabilitation and Research Foundation, W&H (Austria), The University of Texas Health Science Center at Houston, Memorial Hermann

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago