Post-Stroke Gait Kinematic and sEMG Waveform Data for 43 Individuals

A secondary analysis of a public multimodal gait dataset comprising 138 able-bodied adults and 50 adults with stroke. The dataset includes 11 waveform domains, such as sagittal kinematics and surface electromyography, each represented by 1,001 time-normalized points. The retained fused side-aware solution organizes a strict complete-case stroke cohort of 43 individuals into three distinct gait states.

Use Cases

• Clustering post-stroke gait states based on fused kinematic and sEMG waveform data.
• Analyzing side-differences in gait patterns between paretic and non-paretic limbs.
• Identifying key waveform contributors to gait state classification, such as ankle angle and vastus lateralis sEMG.
• Testing the sensitivity of gait state assignments to scaling and component reduction methods.
• Developing hypothesis-generating frameworks for neurorobotic state-representation design.

Strengths

• Includes data from 188 total participants (138 able-bodied, 50 with stroke).
• Analyzes 11 waveform domains, each with 1,001 time-normalized data points.
• The retained three-state solution was chosen for its interpretability and preservation of multimodal side-aware structure.
• Sensitivity analyses, such as erector-spinae exclusion, show high assignment stability (ARI=1.000).

Limitations

• The dataset is very small at 30.6 KB, indicating limited scope.
• Row count and column-level documentation are unknown, requiring manual inspection after download.
• The analysis is exploratory and representational, not validated for clinical or real-time use.

Provenance

Source

Rocco Salvatore Calabrò via figshare.

Collection Method

Secondary analysis of a public multimodal gait dataset.

Freshness

Last updated 2026-05-25 06:05:41; freshness should be verified.