Robotic Exoskeleton Rehabilitation Case Report for Incomplete Paraplegia

A single-case clinical dataset from figshare details the six-month rehabilitation of an 18-year-old male with traumatic L2 AIS C paraplegia. The data likely contains multidimensional outcome measures from 20 sessions of robotic exoskeleton training combined with conventional physiotherapy. Author Rafael Francisco Vieira de Melo published the dataset under a CC-BY-4.0 license, with a last update recorded for April 10, 2026.

Use Cases

• Correlating functional mobility gains with muscle torque recovery based on Timed Up and Go (TUG) and isokinetic dynamometry results.
• Analyzing site-specific bone mineral density changes based on DXA scan results for lumbar spine and femur.
• Investigating paradoxical metabolic outcomes based on the reported increase in visceral fat despite functional improvements.
• Evaluating neuromuscular asymmetry progression based on the reported bilateral deficit metric.

Strengths

• Multidimensional assessment includes functional mobility tests (TUG, 10-meter walk), isokinetic dynamometry, and bone densitometry.
• Provides specific quantitative results, such as a 21.7% improvement in right hip extensor torque and a 50% increase in lumbar spine bone mineral density.
• Dataset is openly licensed under CC-BY-4.0, facilitating reuse and analysis.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (11.5 KB), indicating it is a single case report with limited scope for generalizable statistical analysis.

Provenance

Source

figshare

Collection Method

Clinical case report data collection from a single patient undergoing rehabilitation.

Time Range

Covers a six-month rehabilitation period for the reported case.

Freshness

Last updated 2026-04-10 05:58:38; freshness should be verified.

Geography

Geographic coverage is not specified in the provided metadata.