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Rehabilitation Dataset Directory: Dataset Profile

Dataset: Retraining Walking Over Ground in a Powered Exoskeleton After Spinal Cord Injury ()

Basic Information
Dataset Full Name Retraining Walking Over Ground in a Powered Exoskeleton After Spinal Cord Injury
Dataset Acronym

The Retraining Walking Over Ground in a Powered Exoskeleton After Spinal Cord Injury is a mixed-methods study using both observation and interviews. It was designed  to determine quantitative and qualitative outcomes in a cohort of individuals with chronic, spinal cord injury, who learned to use the ReWalk exoskeleton to walk. Researchers determined the training dosage required for walking proficiency, the sensory and motor changes in the nervous system with the training, and the perspectives of the participants with respect to both the training and the device. It was a prospective cohort study with measures taken before, during, immediately after training, and 2-3 months after training was completed.

Key Terms

Spinal Cord Injury (SCI), Rehabilitation, Assistive devices

Study Design Longitudinal
Data Type(s) Clinical
Sponsoring Agency/Entity

Craig H. Neilsen Foundation (SCIRTS-2015), Alberta Spinal Cord Injury Research Fund

Health Conditions/Disability Measures
Health Condition(s)

Spinal Cord Injury (SCI)

Disability Measures

Ambulatory disability, Special equipment use/assistive technology

Scales used:

Physiological Cost Index; International Standards for Neurological Classification of Spinal Cord Injury; Spinal Cord Assessment Tool for Spasticity (SCATS); McGill Pain Questionnaire Rating Index

Measures/Outcomes of Interest

Wheelchair use, Walking speed (over 10 meters), Walking distance (6 min walking test), Manual muscle strength, Spasticity (Spinal Cord Assessment Tool for Spasticity- SCATS), Neuropathic pain

Sample Population

Individuals with severe spinal cord injury who resided, or maintained temporary residence for the purpose of the study, in Edmonton, Alberta, Canada. Further criteria required at least one year since qualifying injury; wheelchair use as primary mode of locomotion; and sufficient arm strength to control forearm crutches.

Sample Size/Notes

12 participants

Unit of Observation



North America



Geographic Coverage

Edmonton, Alberta, Canada.

Geographic Specificity


Data Collection
Data Collection Mode

Observation and interviews

Years Collected


Data Collection Frequency

Measures were taken at four points in time (relative to training):

  • before training
  • during training
  • immediately after training
  • 2-3 months post-training
Strengths and Limitations
  • Wide variety of quantitative measures along with extensive interview data
  • Multiple measures over time
  • Well documented
  • Small sample size
  • Sample of convenience
Data Details
Primary Website


Data Access


Data Access Requirements

Restricted use: Researchers must agree to the terms and conditions of a Restricted Data Use Agreement in accordance with existing ICPSR servicing policies.

Summary Tables/Reports


Data Components

DS1: Training Measures and Outcomes Data:

Comprised of 31 files including 14 spreadsheets containing participant metrics in relation to the study task. An additional 17 files providing explanatory documentation in support of the spreadsheets:

  • 6MWT and PCI.xlsx
  • 10MWT.xlsx
  • Manual Muscle Test scores.xlsx
  • Max distance.xlsx
  • McGill pain scores_weekly.xlsx
  • MEPAvgs_at_rest.xlsx
  • MEPAvgs_with contraction.xlsx
  • Numerical rating of pain.xlsx
  • Pauses in training.xlsx
  • SCATS scores_by session block.xlsx
  • Sensory perceptual threshold data.xlsx
  • Sitting balance_SCI and Controls.xlsx
  • Skill Progression Summary.xlsx
  • Training data from each session.xlsx

DS2: Participant Interview Data:

29 files, comprised of 28 interview transcripts and a file provides explanatory documentation in support of the interview transcripts:

  • Interview guide and study info.docx
  • P1 After training interview.doc
  • P1 Follow-up interview.doc
  • P2 After training interview.doc
  • P3 After training interview.doc
  • P3 Before training interview.doc
  • P3 Follow-up interview.doc 
  • P4 After training interview.doc
  • P4 Before training interview.doc
  • P4 Follow-up interview.doc
  • P5 After training interview.doc
  • P5 Before training interview.doc
  • P7 After training interview.doc
  • P7 Before training interview.doc
  • P7 Follow-up interview.doc
  • P8 After training interview.doc
  • P8 Before trainiing interview.doc
  • P8 Follow-up interview.doc
  • P9 After training interview.doc
  • P9 Before training interview.doc
  • P10 After training interview.docx
  • P10 Before trainiing interview.doc
  • P10 Follow-up interview.docx
  • P11 After training interview.doc
  • P11 Before training interview.doc
  • P11 Follow-up interview.docx
  • P12 After training interview.doc
  • P12 Before training interview.doc 
  • P12 Follow-up interview.doc
Selected Papers
Other Papers


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The Rehabilitation Research Cross-dataset Variable Catalog has been developed through the Center for Large Data Research & Data Sharing in Rehabilitation (CLDR). The Center for Large Data Research and Data Sharing in Rehabilitation involves a consortium of investigators from the University of Texas Medical Branch, Cornell University's Yang Tan Institute (YTI), and the University of Michigan. The CLDR is funded by NIH - National Institute of Child Health and Human Development, through the National Center for Medical Rehabilitation Research, the National Institute for Neurological Disorders and Stroke, and the National Institute of Biomedical Imaging and Bioengineering. (P2CHD065702).

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